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2019-01-04

Top 20 Amazing Reasons to Learn Java in 2019

Java is one of the best programming languages. It is also one of the most popular programming languages amongst developers and can be used to create web applications, customized software and web portals including eCommerce and m-Commerce solutions.

There is no doubt that Java has been going strong over the years. Java has survived for 20 long years. Java is becoming stronger after each passing day.

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Many computer graduates often have doubts about which programming language they should learn. Or which is the best programming language? But it all depends on the definition of the best programming language.

If you choose popularity as a parameter, then Java outscores every programming language. In terms of job opportunities also, Java outscores every programming language. You can get a lot of job opportunities by learning the Java programming language.

Here we list top reasons to learn Java in 2019

1. Java is easy to learn

This may surprise you if you see that the top reason to learn Java is that it is easy to learn. But it actually is. Yes, it may be difficult to get productive in a short span of time but this is the case with most of the professional projects.

Java has fluent English like syntax which has minimum magic characters, for example, generic angle brackets which make it easy to read Java program and learn quickly.

2. Java is an object-oriented programming language

Java is an object-oriented programming language. Developing an OOP application is much easier and it also helps to keep the system modular, extensible and flexible. Once you have knowledge of key OOP concepts like Abstraction, Encapsulation, Polymorphism, and Inheritance, you can use all those with Java. Java itself embodies many best practices and design pattern in its library.

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3. Java has a rich API

Java has a rich API and it is highly visible because it comes with the Java installation. The early development used Applets and provide a great animation capability. Java provides API for Input-Output networking, utility database connections etc.

4. Powerful development tools

Java comes with powerful development tools. For example Eclipse and Netbeans have played a huge role in making Java one of the best programming language. These tools not only help in code completion but also provides debugging capabilities which is essential for real-world development.

5. Open source libraries

The open source libraries ensure that Java should be used everywhere. Apache, Google, and other organizations have contributed a lot for these libraries which makes Java development easy, faster and cost-effective.

6. Good community support

Good community support is the biggest strength of Java programming language. No matter how good a programming language is, it won’t survive if there is no community to support, help and share knowledge. Java has a huge number of forums and groups that support each other.

Advanced Java training in Chandigarh

7. Java is open source

Java is free to use. You don’t need to pay anything to create a Java application. For adopting a technology, the cost is an important factor. Availability of Java programmers is another big thing which makes an organization to choose Java for their strategic development.

8. Excellent Documentation

When you first see Java doc, you’ll get amazed as it is a great piece of information and tells a lot about the Javadoc documentation. Java wouldn’t be so popular without such good Java documentation.

9. Java is platform independent

Java is a platform independent programming language. The idea of platform independence is great and Java has a tagline of “write once and run anywhere”.

6 months industrial training in Java programming

10. Java is everywhere

Java is everywhere. It is on the desktop, on mobile, and almost everywhere. Java programmers outnumber programmers of the other programming language. The huge availability of Java developers is the reason why organizations choose Java as their preferred programming language.

11. Lots of resources to learn Java

There are tons of resources to learn Java. Java being a mature programming language has a lot of resources that can act as your perfect companion in the learning process. Depending on your need, you can opt for free or paid learning resources to aid yourself.

12. Used in real-world applications

Java is used on websites like Amazon, Linkedin, eBay, and other big websites.

13. Simple Grammer

Java has a very simple grammar and is familiar to anyone having experience in C and C++.

14. Portability

Java is a portable programming language and runs well on all the popular platforms.

15. Easier to maintain

Java is a statically typed language which means that your code will have to be checked for errors before it can be built into the app. This means that errors will be easier to track down. As statically typed programming languages are more strict, you will have less strange and unexpected errors.

Industrial training in Java Advanced in Chandigarh

16. Optimized Performance

Modern Java programs are now more performant thanks to mature JIT (just in time) compilers and improved JVMs, as performance can be optimized in real time to help a Java program run faster. This is very helpful as your application grows larger or needs to handle more processes.

17. Cross Platform

The cross-platform friendliness is one of the main features of Java programming. With Java programming, you have to write code once and then use the code anywhere. Java is cross-platform programming language as the compiled Java program can be run on all the platforms which have a Java virtual machine(JVM).

18. Budget Friendly

Java is a budget-friendly programming language which is universally popular. However, finding a reliable Java development company can be difficult for business owners.

19. Multi-Threading

Java web applications can manage their own use by several users at the same time. This can be done by creating threads for each user within the program instead of having to execute multiple copies of the programming.

20. Secure

Java is designed to be secure in a networked environment. The Java run-time environment uses a bytecode verification process to ensure that code loaded over the network does not violate Java security constraints.

Contact DummyByte for 6 months industrial training in Java.

 

 

2018-12-21

Python Vs MATLAB - The Best Comparison on Internet

Python and MatLab both are used for the machine learning projects development. In this blog post, we will compare two and discuss some of the cons and pros of Python and MatLab. In the end, we will conclude which is best for building the machine learning projects.

Difference between Python Vs MatLab

Python is a high-level object-oriented programming language. Python is an interpreted, interactive and object-oriented programming language just like PERL or Ruby. Python is designed to be easy to learn and implement. Python is free to use and it can run on all the operating systems.

On the other hand, MATLAB is a high-performance language that is generally used for the purpose of technical computing. MATLAB integrates the computation, visualization, and programming in an easy to use environment and problems and solutions are expressed in mathematical notations.

 

Top 12 Machine Learning Project Ideas for Students

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Tips for learning Python every Beginner Must Know

 

Python is a widely used programming language. It is mainly developed for the purpose of code readability. Python is a programming language that that lets you work quickly and integrate systems more effectively.

There are basically two versions of Python-Python 2 and Python 3. Both are quite different. MatLab is an abbreviation for Matrix Laboratory. It is mainly used for matrix operations and program solving related to the Linear algebra. It offers additional toolboxes like control design, image processing, and digital image processing.

Python is basically a programming language. The most common implementation is in C. Python also has a standard extensive library.

Python Uses and Features:

  • Easy to learn and implement.
  • Highly Portable

  • Extensible and Free

  • Uses white space to delimit the blocks.

Productivity: Python reduces the development time and improves the program maintenance. Python is mainly used for rapid prototyping, web scraping, XML processing, GUI applications etc.

Matlab Uses and Features:

Working through the simulation. Matlab saves time and reduce costs.

  • Can be used for image processing.

  • Matlab is a programming language along with the programming interface.

  • Matlab’s functionality can be extended by using the additional toolboxes. These are the set of specified functions that provide more specialized functionality like excel link to allow data to be written in a format recognized by excel.

Advantages of Matlab

  • Some of the advantages of Matlab are:

  • It has a large number of functions.

  • Simulink is a product which does not have a good alternative yet.

  • It is easier for the beginners to use. Because the package includes all that you need. While in Python, you need to install extra packages and an IDE.

  • It also has huge community support.

 

Matlab training in Chandigarh

Advantages of Python

Some of the advantages of Python are:

Beautiful Programming Language. Python was created to be a generic programming language that is easy to learn and implement. It is the most readable programming language. After you become familiar with Python, you will be amazed at how well it is designed.

Powerful. As Python is well designed, it is easier than other programming languages to transform your ideas into reality. Further, Python comes with an extensive library and has powerful data types like the list, sets, and dictionary.

Namespace. Matlab supports namespace for the functions that you write. But the core of Matlab is without namespace.

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Conclusion – Python Vs Matlab

Finally, we conclude the Python Vs Matlab. Python Vs Matlab both are having advantages and disadvantages. Both Python and Matlab are successful in the market.

Python is specially designed for the cloud environment. Matlab is an interactive environment whose basic element is an array that does not require the dimensioning. This allows you to solve many technical and computing problems.

Especially with the matrix and vector formulation. You can write the program in a fraction of time which rather would take a long time if noninteractive languages like C or FORTRAN were used.

MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical and computing problems especially those with the matrix and vector formulations.

MATLAB evolved over a period of time with the input from many users. It is the standard instructional tool for the introductory and advanced course in mathematics, engineering, and science.

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Python is also one of the top programming languages. This language is required and used by the majority of computer courses. It is extensively used for the machine learning projects development.

This means that if anyone wants to pursue a career in machine learning, Python programming is a must. It is also necessary for the students looking for the data analytics jobs.

Both Matlab and Python have their own importance. You cannot tell which one is better. It depends on the use cases. In some use cases, Python may be appropriate while in others Matlab may be the right choice.

Contact for 6/Six months industrial training in Chandigarh

 

2018-12-17

6 Months Industrial Training in Chandigarh – DummyByte

Looking for the best 6 months industrial training in Chandigarh? Confused about which course to go for? Do not know which course is best for your career? In this blog post, we will discuss all these questions. At the end of the post, you will be able to see clearly which course is best for you and why.

There are many industrial training institutes in Chandigarh offering industrial training. Students often get confused while choosing the best institute and the best course which will be beneficial for the students. Serious students who are conscious about their career or the students make the smart choice and choose what is best for them. But more than 90 percent of the students have no idea what is good for their carrier.

Why go for industrial training in Companies instead of institutes?

In the past few years, industrial training has seen a shift in the trends. Instead of going for the industrial training institutes, the majority of the students are choosing tech companies over industrial training institutes for industrial training. The reason is simple. Students want to work in the real corporate environment to get the hands-on experience. Gone are the days of classroom study and boring lectures.

Student wants to work and learn from the industry experts to get to know how real projects are made, challenges faced in real time and how to work in the pressure condition. After the successful industrial training, interns can start looking for jobs in their respective fields or these tech companies can absorb the students based on their performance.

Is Industrial Training Important?

Yes, industrial training is very helpful for students in many ways:

  • Industrial training helps students to understand how an industry/company/ organization functions.
  • Industrial training for engineering students involves learning and applying technical knowledge. You also get to interact with a lot of people performing various roles and serving in different positions.
  • Just by observing them and having an interaction with them gives you an idea of how a company functions.
  • At DummyByte, we cater to an environment where we work on the overall development of the trainee.
  • We have open discussions and meeting sessions where teams can work in collaboration and interact with each other.
  • We create a positive and open culture to foster happy trainees.
  • We organize seminars, workshops, and meetings to keep them aware of the latest and trending technologies.

DummyByte is also an artificial intelligence based company in Chandigarh which offers an industrial training course for the students in various courses.

Which industrial training courses are Trending Nowadays?

Here is a list of the trending industrial training courses

1. Python Development in Chandigarh

Python is a full-fledged object-oriented programming language. It can be used for web development- frontend and backend, scripting, machine learning development and more. Python is easy to learn. Python supports many libraries for artificial intelligence and machine learning development.

 

2. Machine Learning Course in Chandigarh

Machine learning is the subfield of artificial intelligence. Machine learning experts are in huge demand at the global level. Machine learning is a bright career and can be chosen as a full-time career. Students who aspire to become a machine learning expert and become a data scientist can contact DummyByte for industrial training.

3. MATLAB Training in Chandigarh

Matlab is mandatory if you want to become a data scientist. MATLAB is used for image processing, computer vision, machine learning, robotics, signal processing, communications and more. Matlab is an interactive software that requires dimensioning. MATLAB allows the user to solve many technical computing problems especially the vector algebra and matrix formulation.

Top 12 Machine Learning Project Ideas for Students

4. Data mining training in Chandigarh

Data mining involves the analysis of large datasets. Data mining is more than just the simple data analysis. Data mining is becoming a popular field as big organizations deal with a huge amount of data and information. Data mining is a relatively new field where the competition is very low and salaries are very high. Not many industrial training institutes in Chandigarh offer data mining training. But the scope of career opportunities in data mining in MNCs is huge once you complete the data mining course.

5. Java training in Chandigarh

Java is the most popular programming language despite being here for a long time. Technologies come and go but Java has been tried and tested by time and remain the top choice for a development web app, mobile app, operating systems etc. Java is one of the best programming language created ever. Java has proved it in the last 20 years. Many graduates are looking to learn Java programming as it is the most popular programming language. In terms of jobs opportunities, Java outscores every programming language in every metric. Java programmers get packages more than any other programming language in the industry.

 

For more courses, visit our industrial training page. You can choose DummyByte for the best 6 months industrial training in Chandigarh.

 

2018-12-13

Top 12 Machine Learning Project Ideas for Students


In this post, we will be discussing the machine learning projects based on Python, Matlab, and other languages. Let us look at the machine learning project ideas one by one.


1. Twitter Sentiment analysis using machine learning


In this machine learning project, we will attempt to conduct the sentiment analysis on the tweets using different machine learning algorithms. In this project, we try to classify the polarity of tweets whether it is positive or negative. If the tweet has both the positive and negative elements, the sentiment with more weight should be picked as the final label. We use the database from Kaggle which was crawled and labeled as positive or negative. We use various machine learning algorithms to conduct the sentiment analysis by using the extracted features.


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2. Fake News Analysis using Machine Learning

 

This project uses Natural Language Processing techniques for detecting the fake news that is misleading news and stories coming from unreliable sources. It can be achieved by building a model based on the count vectorizer or a Term Frequency-Inverse Document Frequency matrix. But these models do not consider important qualities like context and order of words. Dealing with the fake news is the perfect example of text classification project. Also, you can use the Naive Bayes classifier in order to create a model to classify news into fake, real or biased.


Contact DummyByte for 6 months Industrial Training in Chandigarh


3. Road Trip Analysis using Machine Learning

The accurate trip generation forecasting model is the basic and important part of the traffic forecasting model. This project is based on the machine learning algorithm which has an excellent Global search capability with the trip generation forecasting model in order to improve the accuracy of prediction. The proposed system should also satisfy the path constraints and should also meet the driver’s preferences.

HOW TO PLAN A CAREER IN ARTIFICIAL INTELLIGENCE

4. Road Accident Analysis using Machine Learning

There are many techniques in the automobile industries to build safety measures and designs for the automobiles. But the traffic accidents are unavoidable. There are a huge number of accidents happening in the rural as well as the urban areas. Predictions models can be developed which will be capable of automatic separation of various accident scenarios. These clusters will be capable of separation of various accidental scenarios. This project can also be an exciting project to work on.


WHY MACHINE LEARNING COURSE IS IMPORTANT FOR STUDENTS?


5. Gaming Agent AI

Artificial intelligence methods have been developed that which are able to play a variety of games. For example, snake game is a computer game whose goal is to control a snake and to collect food in the map. The single player variant of the game requires a player to navigate a line based representation of a snake in a two-dimensional playing area. The application of artificial intelligence to play the game of snake has not yet fully explored. In this project, we work on the techniques to improve the automated snake game playing.


Work on this machine learning project with DummyByte.

6. Lane Detection

To improve the accuracy of lane detection in complex conditions, such as shadows and lighting changes, a new detection algorithm was proposed based on machine learning. After the pretreatment, haar-like filters were used to calculate the eigenvalues in the grey images. To avoid the overfitting, Fisher discriminant analysis is used to initialize the weights of samples. The algorithm thus created had good robustness and can recognize the lane in the challenging conditions.


Work on Lane Detection machine learning project with DummyByte.


7. Real-Time Food Detection

You can use the machine learning algorithms for the fun theme like recognizing the food and snacks. The main goal of the project would be to develop a computer vision system that can perform the real-time food classification and localization. Convolution Neural Network can be used for the image classification accuracy. Artificial intelligence can recognize the objects better than human experts. Thus deep learning method of food classification can be a good project to work on and can be a future of the food industry.


Work on Real-Time Food Detection machine learning project with DummyByte.


8. Object Detection with Deep Learning

 

 

Deep Neural Networks have recently been used for object detection and image classification. In this project, we go one step further and address the problem of object detection using the DNN. We create a simple and powerful formulation of the object detection as the regression problem to object bounding box masks.


Work on Object Detection with Deep Learning machine learning project with DummyByte.

9. Stock Market Price Prediction

Stock Market Price Prediction system can be another good idea for the beginners. The stock market prediction software can monitor and analyze the company performance and predict the future prices of the stocks. Moreover, the stock market has a huge amount of data so there is a great potential for a good machine learning project. DummyByte has worked on the stock market price prediction project and can assist you in making a fresh machine learning project in Chandigarh.

10. Sports Predictor

Another practical machine learning project can be a sports result prediction system. You can create a sports result prediction system for the famous sports and tournaments like NBA, NHL, tennis etc. With the huge amount of player data and stats available over the internet, you can build a machine learning model that odds of winning a player or a team in a particular match. This can be a challenging as well as an interesting machine learning project for beginners.

11. Sentiment Analyzer

You will be surprised to know that machine learning can also be used for the sentiment analysis. All of us use social media platforms. Social media platforms have become a powerful tool for businesses, brands and other agencies. Social media is always overflowing with tonnes of user-created content. Machine learning algorithms can also be used to analyze the sentiment behind the text and our posts.

This is particularly useful for brands and organizations as they can better understand consumer behavior. Many big brands are already using the sentiment analyze machine learning project on all their social media platform accounts. Contact DummyByte if you want to learn to create Sentiment analyzer machine learning project from scratch.

Contact DummyByte for machine learning industrial Training in Chandigarh

12. Symptom Checker

Artificial intelligence and machine learning can also be used to build symptom checker software. In this project, we create machine learning models for the diseases and their symptoms. The interface will ask users about the symptoms they are suffering from. In the end, it will predict the chance of having a particular disease. This can also be an interesting machine learning project idea for beginners.

Conclusion

If any of the machine learning project ideas strikes you, contact DummyByte. We will assist you in creating the project. Contact DummyByte for industrial training in Chandigarh. We offer 6 months industrial training in Chandigarh as well as 6 weeks industrial training in Chandigarh and Mohali.


Contact DummyByte for machine learning industrial Training in Chandigarh

 

 

 

2018-12-05

Things you can do with Python – 3 Most Popular Applications

You are probably here if you are looking to learn Python. If you have recently started to learn Python, you may be asking yourself :

What things can you do with Python?”

This is a tricky question because there are so many things that you can do with the Python programming language. But over the time, there are three main applications of Python :

Web Development

Data Science – This includes machine learning, data analysis, and data visualization.

Scripting

Let's talk about them one by one

Get the best 6 months industrial training in Python in Chandigarh at DummyByte

 

Web Development

Web frameworks that are based on Python like Flask and Django have recently become popular in web development.

These frameworks help you to create the server side code in Python. Server-side code runs on the server as opposed on the user’s device and browsers. But what is the need for a web framework? This is because a web framework makes it easier to build the common backend logic. This includes mapping different URLs to the chunks of Python code, generating HTML files and connecting with the databases.

Python Flask training in Chandigarh at DummyByte

Top 12 Machine Learning Project Ideas for Students

Which Python framework should I use?

Django and Flask are the two most popular Python web frameworks. We’d recommend you to use one of those technologies if you are getting started.

 

What is the difference between Django and Flask?

The major differences between Flask and Django are:

Flask provides simplicity, flexibility and a greater control. It lets you decide how you want to implement things.

Django provides an all-inclusive environment You get admin panel, database interface, ORM and directory structure for your apps and projects which are out of the box.

You should choose:

Flask, if you are focused on the experience and learning opportunities, or if you want more control about the components you want to use.

Django, if you are focused on the final product. For example, if you are working on the straightforward applications like the new website, e-store, or a blog, Django is the preferred framework.

In other words, if you are a beginner, Flask is the better choice as it has fewer components to deal with. Also, flask is a better choice if you want more customization.

Python Django industrial training course in Chandigarh at DummyByte

If you are looking to build something faster, Django is the framework you must choose.

Data Science

Python is the preferred programming language for data science and machine learning. Machine learning implements the algorithm that detects a pattern in the given input. For example, if you give 1000 pictures of a dog and 1000 pictures of a table to the machine learning algorithm, it will learn the difference between a dog and a table. You can apply the same idea to the

  • recommendation system

  • face recognition

  • voice recognition

Some of the popular machine learning algorithms you might have heard about includes

  • Neural networks

  • Deep learning

  • Support vector machines

  • Random forest

Python for Machine Learning

There are popular machine learning libraries and frameworks for Python. Two of the most popular libraries are scikit-learn and TensorFlow.

Scikit-learn comes with the machine learning algorithms built in. Some of them are mentioned above.

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TensorFlow is a low level library that allows to build the machine learning algorithm.

If you are just getting into the machine learning, We would recommend you to first start with the scikit-learn. If you want better accuracy, you must go for the Tensorflow.

Data analysis and Data Visualization with Python

One of the most popular libraries for data visualization is Matplotlib. It is a good library for getting started because it is easy to get started with. Also, some other libraries are based on it. So, learning Matplotlib will help you to learn these libraries later on.

Scripting

Scripting is referred to as writing the small programs which are designed to automate simple tasks. Python is a good scripting language because it has simple syntax and is easy to write.

Python 3 or Python 2

We would recommend using Python 3 as it is a modern and more popular option.

Backend code VS Front-end Code

For front-end code, you might user’s

  • Swift for iOS

  • Java for Android

  • Javascript for web browsers

Each set of code will work on each type of device. This is necessarily a set of code that determines what will be the layout of the app. Python is a good choice for writing the server side code.

Get 6 months industrial training in Chandigarh in Python programming from DummyByte

If you want to learn Python and opt for an industrial training program, DummyByte is the best choice for you. Opt for 6 months industrial training in Python in Chandigarh and become a certified Python Developer. Contact DummyByte for further information or email us at info@dummybyte.com.

 

2018-12-01

Django: A Beginner Guide for Getting Started with Python Django

Are you new to Python? Or already know some of it and you are looking to extend your knowledge.

Django is a web framework which is entirely built over Python. It is free and follows the Model View Controller pattern where the view relates to the controller and the template relates to the view in the MVC pattern. This can be a bit confusing for the beginners but you will understand the logic as you proceed. There are already lots of popular sites that are running on Django.

Django also provides excellent documentation along with the features and tools some of which include:

A good templating language

Security features like CSRF

Excellent and lightweight server for the development.

In this tutorial, we will show you how you can get your first Django website up and running. Before you start, you need to have Python downloaded and installed on your system. Download and install Python from the official website.

You need to have a basic understanding of Python. Also, you will be running this tutorial on a Linux based system. To ensure that it is fully downloaded, open up your terminal and type:

python

An interactive shell will show up.

Python 2.7.12 (default, Nov 19 2016, 06:48:10)

[GCC 5.4.0 20160609] on linux2

Type "help", "copyright", "credits" or "license" for more information.

>>>

To exit this, type Ctrl + Z.

To have a more managed arrangement, it is always advisable to create a directory for your projects.

mkdir folder_name

Then you can cd into the project with cd folder_name

Set up the virtual environment

The next thing we need to do is to set up the virtual environment. A virtual environment helps you to run several versions of Python/Django on your machine. For example, you can have two different Python Django projects running on different versions to avoid them clashing without errors. It is strongly advised to always use a virtual environment.

Top 12 Machine Learning Project Ideas for Students

To set up the virtual environment, you will be needing the python’s package manager pip to do the installation. Type:

pip install virtualenv

After the installation, its time to create a virtual environment that would enable us to use a preferred Django version of your choice.

virtualenv env_name

Note: env_name should be replaced with the preferred name of your environment.

Activating the virtual environment

To activate the virtual enviornment for Linux/Mac OS:

source env_name/bin/activate

For windows:

env_name/script

activate

Installing Django

Now, it is the time to install Django to our machines.

pip install django==1.8

Using ==1.8 gives instructions to the django about the particular version you want to install. In this case, it is 1.8. To go ahead and download the latest version, input pip install django.

Starting a new Project

Now we have the Django running on our systems. Now it is the time to start our first project. In the command line type:

django-admin.py startproject project_name

project_name= name of your project. In this case, we will work with mask_off as our project name. The above command creates a subfolder with the name mask_off and an outline of mask_off.

??mask_off

? ??? __init__.py

? ??? settings.py

? ??? urls.py

? ??? wsgi.py

??? manage.py

Django simplifies our work by creating the above files.

The __init__.py helps Python treat the directories as containing packages so as to prevent the directories with a common name from unintentionally hiding valid modules that occur later on the module search path. In most cases, it is an empty file.

The settings.py file contains all settings your project requires as we progress, we will visit the file often.

The WSGI act as the interface our web server uses to interact with our web application.

Run Server

There is no fun in visiting your own home page. So, let us run our server which also generates a link for us to view our webpage.

python manage.py runserver

Following shows up...

python manage.py runserver

Performing system checks...

System check identified no issues (0 silenced).

You have unapplied migrations; your app may not work properly until they are applied.

Run 'python manage.py migrate' to apply them.

July 12, 2017 - 15:19:01

Django version 1.8, using settings 'mask_off.settings'

Starting development server at http://127.0.0.1:8000/

Quit the server with CONTROL-C.

This implies a successful migration. Now, we can successfully run our server with no issues.

python manage.py runserver

We get a success message on our webpage. Now we have our server which is running a webpage. But there is still a lot of work to do before we actually call it a webpage.

So that is all. You can now take more time to practice these steps and become more familiar with them. Practice these steps and become familiar with them.

Things learned from this tutorial:

Setting up the virtual environment

Installing Django

Creating a new project

Basic Project Components

Migrations

Running Server

Looking for the complete Python Django Course? Contact DummyByte. DummyByte offers an industrial training course in Python Django in Chandigarh.

 

 

2018-11-30

How to Plan a Career in Artificial Intelligence

The artificial intelligence and machine learning technologies are fascinating. But the thing that is more fascinating is how AI algorithms and applications force us to rethink everything we know about the meaning and purpose of life and work.

Artificial intelligence machine learning and deep learning are doing something which was once unthinkable. AI technology is being used in every field of concern. Artificial intelligence is one of the most promising careers in today's world.

Students who are aspiring to become AI engineers must gear up their preparation seriously. Mastering the artificial intelligence field is not a cake walk. So, we are here to help you in this regard. Go through the complete article. It will definitely help you clear your doubts.

Plan your learning

Make a strategy to learn everything. Instead of learning algorithms and how to code quickly for the next few months. Do not make bigger goals. Instead, make smaller goals and complete them with proper and deep understanding. Just mugging up the concepts will not help you in the AI industry. So make your concepts clear and learn new concepts thoroughly.

Learn a programming language

This is the first step towards the career in the artificial intelligence. The preferred language for artificial intelligence is Python. Read good books, practice to code regularly. You cant become a pro overnight. Revise what you have learned and try to make your concepts more clear.

Take Online Courses

There are endless online courses available on the internet today. You must enroll in these courses and get certified in machine learning and artificial intelligence course. There are very few and reliable institutes in India which offer quality artificial intelligence course. You need to prepare yourself from all the sources you can.

Top 12 Machine Learning Project Ideas for Students

Choose the right degree

If you are in your higher secondary and aspire to become an artificial intelligence expert, you are at an advantage. This is because you can choose your graduate degree wisely. Many times students gain interest in artificial intelligence after they have joined the college or completed their graduate degree. You can save yourself from this situation by opting your degree intelligently. A degree in computer science or IT can be a good start. These degrees will be a good start for you and will help you to create a good base.

Start Networking

Artificial intelligence is not limited to coding only. It involves coding too. Becoming good in coding does not mean that you are an AI expert. If you are looking forward to pursuing a career in artificial intelligence, you must have a good knowledge of networking too. You can choose for online networking courses on networking. Because AI is expanding rapidly, staying at the top of technology is a plus point for you.

Learn Linear algebra and differential calculus

Mathematics plays a crucial role in artificial intelligence. Linear algebra and differential calculus are the basic requirements if you want to go for the artificial intelligence career. Learn the concepts and dive deep into these topics. If you are good at Mathematics, you are way ahead of becoming an artificial intelligence engineer.

Build your first artificial intelligence application

Your next step should be to create an artificial intelligence bot. A chatbot is an example of artificial intelligence bot. You need both artificial intelligence and machine learning knowledge to create a good chatbot application. The perfect example of an advanced bot is the Google search engine.

Pick a subfield in artificial intelligence

The field of artificial intelligence is huge. You have to pick a subfield. You can pick the subfield according to your interest. Some of the key subfields of artificial intelligence are neural networks, robotics, computation, expert systems, natural language processing, machine learning, and speech processing.

Dive into artificial intelligence open source

Open source is the engine of advancement. One of the best ways to become an artificial intelligence expert is to dive into the artificial intelligence open source. This gives you the opportunity to learn deeply and explore projects which help you to become a better artificial intelligence engineer.

Update your personal brand

One of the best ways to encourage interests on social media is the content curation. If you are looking for a career in artificial intelligence, it is important to show that interest on social media platforms like Linkedin, Facebook and other such platforms where people can know about your skills.

Do industrial training

You can also opt for industrial training programs. In the industrial training programs, you can learn programming languages such as C++, Python, Java etc. Look for the industrial training in your city or anywhere in India. If you are looking to undergo 6 months industrial training in Chandigarh, you can choose DummyByte which is the best industrial training institute in Chandigarh Mohali region. DummyByte gives you the necessary exposure you require for working in the artificial intelligence industry.

 

 

2018-11-29

Tips for Learning Python every Beginner Must Know

The very first step in learning a new programming language is making sure that you understand how to learn. We often get a very common question from our students which is – “What is the best way to learn Python?”. How you approach learning is the best way to learn any programming language.

So, why is it important to understand the way of learning. The answer is simple. As the language evolves, new libraries are created and tools are updated. Knowing how to learn will be critical in keeping up with the latest updates and becoming a successful programmer. In this article, we will tell you several strategies that will help you and guide you in becoming a successful Python programmer.

Code Everyday

Consistency is the key when you want to learn any new programming language. We recommend you to make a commitment and code every day You may be surprised to know that muscle memory plays a great role in the programming. Coding on a daily basis will help you to develop that muscle memory. It may seem hard at first. But starting from small will help you to get at a high level.

Take Notes

As you progress in your journey as a Python programming, you should take notes as you progress. Infact taking the hand written notes is most beneficial for the long term retention. This will especially be beneficial for those who are willing to become a full time developer as you will be asked to write code on a whiteboard in interviews. Writing down the code also help you to plan the code before you move to the computer. You can save a lot of time if you write the classes and functions beforehand.

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Go Interactive

Whether you are learning the basic Python data structures for the first time or you are debugging the application. The interactive Python shell will be one of the best learning tools. To make use of an interactive Python shell, first, make sure that Python is installed on your computer. We will provide a step by step tutorial on how o do that. In order to activate the interactive Python shell, just open the terminal and run Python or Python 3 depending on your installation.

Take Breaks

When you are learning, it is important to take some break and absorb the concepts. This technique is useful and can help. Work for 30 minutes, take a short break and then repeat the process. Taking a break is critical to have an effective study session particularly when you are taking in a lot of information. Breaks are especially important during the debugging process. In the programming language, you must follow the rules of the language. Even a missing semicolon can break everything. Fresh eyes can make a big difference.

Become a bug bounty hunter

Start looking for the bugs in the program. You will come across bugs when you write code. It happens to all of us. While debugging, it is important to have a methodological approach to find out where the code is breaking. Going through the code step by step is a great way to find the bugs in the program.

Once you get an idea where things may be breaking, insert the following line of code in the script: import pdb; pdb.set_trace() and run it. This is the Python debugger and it will drop you in the interacive mode. You can also run the debugger from the command line with python -m pdb <my_file.py>.

Surround yourself with others who are learning

The coding works best when you work together. It is extremely important when you learn Python to surround yourself with the people who are learning Python as well. This will allow you to share the tricks and tips as you learn along the way. Don’t worry if you are alone. There are a whole lot of ways to communicate with others who are willing to learn Python. You can join online communities, Facebook pages and forums which have Python developers from around the globe.

Teach what you have learnt

It is said that the best way to learn something is to teach it. This is true when you are learning Python too. There are many ways to do this. Writing blog posts as you learn, recording videos in which you explain something you learnt will improve your concepts and expose any gaps in your understanding.

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Pair Program

Pair program is a technique that involves two developers working at one workstation to complete a task. The two programmers switch between being the driver and navigator. The driver writes the code while the navigator helps the guide in problem solving and reviews the code as it is written. The programmers can swithch the sides to get the benefits of both the sides.

Ask Good questions

When you are asking for help from someone who has little or no context of the problem you are facing, it is always best to ask questions in a clear way. Give the context of what you are trying to do. Clearly, describe the problem. Outline the things you have already tried to fix those problems. Offer the best guess to the problem you are trying to solve. This helps the person who is trying to help you out and know what you are thinking. Demonstrate on what is happening. Include the code, an error message or explanation of the steps you executed to get to the error.

Create an application

When you are a beginner, there are many small exercices that will help you in becoming confident with Python. Once you have a solid grasp on the basic data structures strings, lists, dictionaries, sets , object oriented programming and writing classes, it is time to start building.

Contribute to open source

In the open source model, the code is available publicly and anyone can conribute to the code. There are many open source Python libraries and take contributions. Many companies publish open source projects. This means that you can work with the code written and produced by the engineers working in these companies.

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2018-11-22

5 Real-World Examples you'll be learning in Data Science Training

Artificial intelligence and data science are becoming a daily phenomenon and helping us to make better, faster and more accurate decisions. For those who feel that technologies like AI, data science, machine learning etc are the future technologies, wake up! The future is already here. Just look around you, artificial intelligence devices are all around you.

With all the hype about artificial intelligence like self-driving cars, machine translations etc, it can be difficult to see how artificial intelligence is affecting the lives of regular people. What are the examples of artificial intelligence that we are already using?

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You may have certainly used AI on your way to work, communicate with friends, making online purchases and searching on the web. These are clear indications that artificial intelligence is swiftly becoming a part our lifestyle whether we accept or not.

In 2017, a quarter of organizations spent 15 percent or more of their IT budget on machine learning and artificial intelligence capabilities. We expect these numbers to increase in the upcoming future.

So what are the real-life examples of data science you'll be learning in 6 months industrial training program? Let us have a look.

1. Financial service

The potential of artificial intelligence is the driving force behind its popularity in the financial service industry. This is the reason why the insurance sector is moving towards the digital age. Artificial intelligence can help the banks, insurers and other financial sectors to make smarter decisions in a number of different areas:

Customer satisfaction: Artificial intelligence and data science services help financial services firms to track customer happiness. With the analysis of user behavior, AI technology can predict the account closure before it occurs. They can also track the spending habit patterns and customer behavior to offer custom financial advice.

Market analysis: Artificial intelligence applications also helps in learning the market analysis. Artificial intelligence algorithms can be trained to track the asset and liability management on the behalf of the customer. These algorithms can identify the trends more efficiently than humans and react in real time. This helps in reducing the impact of major financial events.

Risk analysis: Data science services can be used to analyze the risk involved in the decision making. Smart machines can analyze a large number of datasets, scores, spending patterns and financial data to access the risk in both the insurance and loan assessments.

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Beat the competition: AI is becoming a reliable management level executive giving businesses an edge in the fierce industry and helping them to be innovative. With the help of artificial intelligence and data science applications, firms can act quickly according to market conditions and increase the productivity of businesses.

2. Healthcare

Healthcare is one of the sectors that have been revolutionized by artificial intelligence applications. The healthcare sector can take advantage from the IoT (Internet of Things) to enable the smarter health solutions.

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Patient monitoring system

Artificial intelligence applications can be used for patient monitoring systems to take care of the patients. Artificial intelligence applications are taking a step further allowing medical practitioners and doctors to monitor the health of elderly family members. The more personal data they are fed with, the better they can understand a user’s profile. This enables doctors to spot an anomaly at the beginning itself.

3. Retail

Artificial intelligence algorithms are behind some of your favorite E-commerce retailers. Big organizations like Amazon are using artificial intelligence algorithms to offer you highly personalized services.

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Online Recommendation systems

AI and machine learning algorithms allow the retailers to offer you personalized recommendation systems based on the previous purchase history. It can suggest you the products, apparels similar to your past searches, your age, gender, location etc. This improves the user experience to a great extent.

Better customer services

AI applications can be used for better customer service and delivery systems. Chatbots are the perfect example of artificial intelligence applications that can be used to improve customer support service. Chatbots are based on natural language processing technology that can simulate human conversation and can answer the queries of the customers. Chatbot applications reduce the response time too which leads to satisfied and happy customers.

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Tracking the price changes

The price of retail items tends to fluctuate over time. Artificial intelligence algorithms help the E-commerce companies to track the patterns in these fluctuations and set the prices according to the demand of the products in the market.

4. Carpooling Feature in Cabs

Cab services have become a neural network for commute and most of us prefer sharing a cab with other passengers to save on the expenses. But how does the app gets booking from the people on the same route as yours? And how is the price determined for your ride? How does the system takes advance bookings and reduce the waiting time? This all is done with the help of artificial intelligence.

Tech giants like Uber are using AI as their fundamental part. It can be used to determine how far the cab is from your location, fair estimate etc. It uses algorithms to determine all these effects. It can do this by analyzing the data from the previous trips and putting the data in the present situation. Even other branches like UberEats does the same. It takes into account various factors like food preparation time to estimated delivery time.

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5. Movie Recommendations

Artificial intelligence algorithms are powerful enough to anticipate your thought process and preferences. This is similar to the recommendation system in E-commerce. Movie recommendations systems are more accurate. Platforms like Netflix can suggest you the movies and TV series you would love to watch. If you watch a particular type of genre, it will suggest you movies that you can’t resist.

Conclusion

If you look carefully, you don’t need to read scholarly articles on artificial intelligence to understand the applications of artificial intelligence. Artificial intelligence and data science applications are already here and making your lives easier. AI applications will change how we perceive things and perform day to day activities. If you want to undergo 6 months industrial training in Chandigarh, DummyByte is the right choice for you.

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2018-11-22

Why Python Learning is important for Data Science Jobs

Python programming language can be seen as Swiss Army knife for the programming world. Python is a multipurpose programming language that can be used for a wide variety of applications. Unlike programming languages like R, it supports structured programming, functional programming, and object-oriented programming.

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Python is an all in one programming language which is capable of handling and running embedded systems, data mining and website construction. Moreover, it is an easy language to learn and can be learned easily by taking online Python for data science course. If you are looking for best 6 months industrial training in Chandigarh, DummyByte is the right choice for you.

Developers are often confused nowadays about which programming language to choose for data science and AI project. There are so many programming languages available like Java, Python, C# which can be used for the AI based projects.

The choice of a programming language depends on various factors like ease of coding, availability of developers, type of project etc. In this article, we will be discussing the advantages of learning Python for data science and AI projects.

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Why programmers are choosing Python for Artificial Intelligence and Machine Learning?

Python provides a huge list of benefits whether you are a small scale business or a large enterprise. The benefits of Python allows you to develop and perform multiple activities at one time.

The growing popularity of Python has allowed businesses to hire Python development companies that can develop projects on Artificial intelligence, machine learning, deep learning, and natural language processing. Here are some of the advantages that make Python the best choice for artificial intelligence and data science projects.

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1. Extensive Libraries

One thing that makes Python as the best choice is its abundance of libraries and framework that facilitates coding and save time. Some of the famous libraries are Numpy for scientific computation, Pybrain for machine learning and Scripty for the advanced computation.

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Some other libraries like AIMA and Norvig can be used for the implementation of algorithms in artificial intelligence.

All these libraries save time for developers.

2. Less Coding

There are lots of algorithms involved in Artificial intelligence. The ease of testing provided by the Python makes it one of the best programming language among competitors. With Python, you can easily write and execute all the codes.

Python is capable of implementing the same logic with 1/5th of the code as compared to other programming languages. This was the main reason why Python is preferred for big AI based projects.

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3. Platform Independent

Python provides developers with the functionality to provide API from the existing programming language which indeed turns out to be extremely flexible for new Python developers. Moreover, Python is a platform-independent programming language.

With just minor changes in the code, you can get the projects and applications running on different operating systems. This saves a lot of time for developers in testing on different operating systems and migrating the source code.

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4. Support

Python is an open source programming language which has a great developer community support. There are a plenty of resources available which can help any developer to fix their issues and problems in no time.

There is a huge community base of Python developers who are willing to help other python developers in the complete development lifecycle.

5. Flexibility

One of the major benefits of the programming language is its flexibility. It has the option to choose from either scripting and OOPS approach. Python is suitable for every purpose. Moreover, it can also work as a perfect backend language and link different data structures together.

Python also gives the functionality to check the majority of code in IDE itself. It is a big plus for the developers who are struggling to get the algorithms right.

6. Popularity

Python is becoming the favorite programming language of millions of developers globally. Also, Python’s ease of learning is attracting new developers to learn this programming language. Although AI based projects require experienced developers, yet Python is easy to learn programming language.

7. Simplicity

Python is known for its concise, readable code and beats all its competitors in terms of ease of use and simplicity. Particularly for the new developers. This has a number of advantages for machine learning and deep learning.

Both machine learning and deep learning relies on complex algorithms and multiple workflows. So, developers do not have to worry about the complications involved in the coding process.

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All they have to do is to find the solutions to the problems and achieve the goals of the projects.

Wrapping Up

Artificial intelligence is having a noticeable effect on the world we live in. Smart developers are using Python as a programming language for their AI and ML projects. Python’s extensive amount of libraries and frameworks simplify the development process and also cut down the development time.

Python also reduces the overhead on developers so they can concentrate on problem-solving. While there are other programming languages that can be used for the Python development, there is no denying from the fact that Python has a cutting edge over other technologies. This is why learning Python is important for data science jobs. Get 6 months industrial training in Chandigarh from DummyByte and give a boost to your data science career.

2018-11-22

Why Data Science is such a Booming Career Right Now?

Is data science a rising career? Data science job is considered one of the highest paying fields. Data science jobs also follow the basic laws of economics – demand, and supply. The demand for data science is very high while the supply for data science job is too low.

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If we look at the computer science field a few years ago, the internet was becoming famous and people were making a lot of money out of the internet. Everyone wanted to become a programmer, web designer or anything related to the computer science industry. Salaries were very high and it was exceptional to be in the CS industry. As time passed, the supply of the workforce in IT industry increased and salaries got lowered as the supply of CS workforce started to catch up with the demand.

The same thing is happening to the data science industry right now. Demand is really high and the supply is really low. The salaries of data scientists are still very high and people are willing to get into the data science. Let us have a look at the demand and supply of the data science jobs.

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Data-driven decision making is increasingly becoming popular. In the past few years, analysts would use software like Excel to analyze the data. Technology is advanced enough to have tools like:

Google analytics for the marketing department.

Complicated ERPs that break down information and create the visualizations.

Tableau, Sisense, Microsoft Power BI for your business intelligence department (which is a sub-field of data science), where analysts can visualize the data in unprecedented ways and uncover unexpected insights.

Outstanding improvements in programming languages such as R and Python, which let you perform very complicated analyses with a couple of lines of code.

Examples of Data Science

Google

Google is defining the data science. Everything they do is data driven from their search engine. Even their HR team is using scientific methods to evaluate the strategies that make the employees feel better at work so they can be more productive.

Amazon

Each product recommendation that you get comes from Amazon’s data science algorithms. Actually, Amazon has implemented an algorithm that can predict with some certainty if you are going to buy a particular product.

Facebook

Facebook is generating very high ad revenue because it has all the personal data of the users. Since you interact with the platform, they know if you like cat videos or dog videos. They know what sports you like, who is your favorite celebrity and the amount of money you can spend online. In this way, they can target users in multiple ways. Thus companies like to use Facebook as a medium.

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Not only huge companies have a data science division. Small businesses, blogs, and local businesses use google analytics for their needs and have huge gains from it. You don't need machine learning to monetize on data science.

Data science technology was driven by the technology change. Thus it was impossible to exist 20 years ago (slow computers, low computational power, primitive programming languages, etc.)

However, when traditional education was not ready, there are still very few programs that educate the aspiring data scientist. The people that get into the topic usually transition from other field and gain the necessary skills mainly through self-preparation. That includes books, research papers, and online courses. There are still not enough people exploiting the opportunity in the industry.

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As the supply of labor is low, supplies will remain high. Thus it is a good field to get into.

Conclusion

The demand for the data scientists will continue to grow and the demand will continue to grow faster than the supply for a long time. So, data science jobs are on the rise both from the company perspective and employee perspective. This makes data science a great field to get into at the moment. If you are interested in getting into the data science field, you must take 6 months industrial training in Chandigarh from DummyByte. Contact DummyByte via email info@dummybyte.com or by Contact Us form.

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2018-11-21

How Students can Build a Career in AI and Machine Learning?

Artificial intelligence is making headlines every now and then. It is a hyped topic which is hard to ignore. AI and machine learning are penetrating in every field of concern like healthcare, finance, banking, the stock market, automobile etc. Use of artificial intelligence and machine learning services in one form or another proves that it is a viable career option.

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There is a void in the artificial intelligence field as there is a scarcity of workforce in artificial intelligence. Choosing artificial intelligence as a career option can be a smart choice as it is the technology of the future. Many students want to pursue career in artificial intelligence in India too. But due to lack of guidance and proper training, they are hesitant to choose AI and machine learning as a career option.

At DummyByte which is an industrial training institute in Chandigarh, we offer world class AI and machine learning training to students of all backgrounds. We have closely worked on AI and machine learning technologies with our onshore as well as offshore clients. We have worked on speech recognition, face detection, prediction systems, recommendation systems etc. In your 6 months industrial training course, you will learn how to work on artificial intelligence and machine learning technology.

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AI Career Landscape

Artificial intelligence is given more transaction because of the recent innovations in the field. Artificial intelligence has become a viable career choice for a while now but because of the growing adoption of technology across industries, and the need for trained professionals to do the AI jobs. AI experts predict that by 2020, AI will create around 2.3 million jobs.

AI will also offer many unique and viable career options. AI is used in almost every industry from entertainment to transport, and we have a huge demand for qualified and skilled professionals. If you want to step into to the AI career, you must undergo 6 months industrial training in Chandigarh from DummyByte.

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AI and Machine learning

If you are new to this field, you might be wondering what artificial intelligence is? Artificial intelligence is the technology of making intelligent machines. It is the software that learns similar to how humans learn and mimic human learning so it can perform some of our jobs for us and perform better and faster than a human could. Machine learning is a subset of artificial intelligence. It is the process by which AI learns.

AI has a lot of benefits. Both the companies and people are benefitted from artificial intelligence. People use artificial intelligence on daily basis to find their destinations and other applications. Businesses can use AI to assess risk and define the opportunity.

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Subsets of Machine Learning

Artificial intelligence and machine learning development lead to new capabilities. Also, there are subsets within the area of machine learning each of which has a potential area of specialization for those who are interested in a career in artificial intelligence.

Neural Network: Neural networks are integral for teaching computers to think and learn by classifying information similar to how humans learn. With the neural networks, the software can learn to recognize images. Machines can also make predictions with a high level of accuracy based on the data input.

Natural Language Processing: Natural Language Processing gives machines the ability to understand human languages.

Reasons you should do 6 months industrial training in AI and machine learning

Here are a few reasons why you should gain certification in Artificial intelligence and machine learning:

The demand for certified AI professionals will grow

One in five companies will be using artificial intelligence in 2018. It will help the companies offer customized solutions and instructions to employees in real time. Therefore, a sharp increase in the demand for professionals with skills in emerging technologies like AI will grow.

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New and unconventional career path

Artificial intelligence is expected to create 2.3 million jobs by 2020. The emerging technology is going to create new jobs. Because of artificial intelligence, new skill sets are required in the workforce, leading to new job opportunities. Some of the top artificial intelligence roles include:

AI/ machine learning researcher: Research and identify improvements to machine learning algorithms.

AI software development, program management: Develop systems and architecture that can apply machine learning to an input data set.

Data mining and analysis: Investigate large data source, creating and training systems to recognize the patterns.

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Machine learning applications: Apply machine learning or AI framework to a specific problem in a different domain. For example, applying machine learning to face recognition and ad analysis.

Improve the earning potential

The earning potential of Ai developer is high. The average artificial intelligence engineer can earn $135,000 per year. Many of the top tech companies are investing in AI technology. A certification in the AI is a step in the right direction to enhance your earning potential.

Higher chances of interview

If you are looking to work in the AI industry, 6 months industrial training in Chandigarh will help you to reach the interview stage because you possess the skills that many people in the market do not.

Artificial intelligence and machine learning are the future technologies and they will have a huge impact on society. Be a part of the change and get 6 months industrial training in Chandigarh in artificial intelligence and machine learning from DummyByte. You can contact DummyByte via email at info@dummybyte.com or through Contact us form.

 

 

2018-11-20

Why Machine Learning Course is important for students?

Machine learning is one of the future technologies to look upon. Machine Learning is no longer just a sub-niche of computer science technology but has evolved as the latest technology in recent years. Machine learning technology is now being used by the many technological giants. For example Amazon recommendation systems, Uber pricing, and booking, fraud detection at the top financial institutions and news feed ideas on Twitter, Facebook, Linkedin etc. If you are looking to undergo 6 months industrial training in machine learning, DummyByte is the right choice for you.

Why you should learn machine learning?

Machine learning is the buzz at the moment. Tons are companies are going to hire machine learning developers. Machine learning is constantly becoming an integral part of business intelligence. With the help of machine learning, businesses are able to better understand consumer behavior.

In 2006, Netflix announced a prize money of $1 million to the person who will increase the accuracy of the recommendation system by 10%. It is evident from the price money what is the importance of the machine learning. Get 6 months industrial training in Chandigarh from DummyByte.

Machine learning is linked to data science. Just like humans learn from the experience, machine learning systems also learn from the past experience. Machine learning is the most blooming job of the 21st century. Learning machine learning will make you more knowledgeable in data science and more job attracting in the market.

Getting Started

Let us have a look at how you can get started with the Machine Learning.

Also Read:

Learn a programming language: You need to learn a programming language to get started. Python is recommended for machine learning. Python is used in many machine learning projects due to possession of the ton of libraries.

Learn the Prerequisites: Machine learning draws a lot from the areas in mathematics, statistics, and linear algebra. A basic knowledge in all these fields can get you going with the machine learning.

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Read ML academic Papers: Many ML papers are published regularly and reading them is a good way to learn new things and keep up with the pace of machine learning.

Below are listed some of the reasons as to why you should learn machine learning?

Better Career opportunities

AI-driven services were worth $1.9 billion in 2016 and are anticipated to rise to $2.7 billion by the end of 2017 of which 23 percent of the revenue comes through machine learning technology. Machine learning is the evolving technology at the moment. Every domain is looking to apply artificial intelligence to their domain. So, studying machine learning can open the world of opportunities to develop the cutting-edge machine learning applications n various verticals like image recognition, medicine, cyber security, face recognition and more.

Several machine learning companies are on the verge of hiring skilled machine learning engineers. Every customer oriented organization is looking to adopt the machine learning technology and it is the next big opportunity for the IT developers.

Great Salary Packages

Machine learning engineers are earning a lot. According to simplyhired.com, the average machine learning engineer salary is $142,000. An experienced machine learning expert can learn up to $195, 752. Companies are looking for certified professionals in machine learning. Get certified from Dummubyte after 6 months industrial training in Chandigarh.

Machine learning jobs are in demand

There is a major hiring going on in all the major tech companies who are in a search of machine learning engineers who can build the machine learning algorithms. The number of machine learning jobs have been rising from 2014 to 2016. The number of job posting jumped from 150 postings per million by the end of 2016.

A recent survey on the Indian job market found that there is a requirement of 4000 ML engineers in Bengaluru alone.

Machine Learning is linked Directly to Data Science

Machine learning is related directly to data science. Machine learning career makes you competent in both the fields- machine learning engineer and data science engineer. You can analyze tons of data, get useful insight out of the data and train a machine learning model to predict the result. In many organizations, machine learning engineers often partner with data scientists for the better synchronization of the products. Become a certified data scientist

CIO’s lack of machine learning skillset

The new victim to the continuing skills gap to plague the sections of the software world is the digital transformation with the use of machine learning. According to the Gartner report, any CIO looking to hire the talent with the machine learning skills in New York taps in the pool of 32 experts mainly out of which 16 are the potential candidates. Any organization faces many challenges, to begin with, the machine learning and one of the top concern is the shortage of machine learning skills.

Conclusion

There are few people in the world that have the required background and necessary background skills necessary for the AI and machine learning jobs. Getting the untapped machine learning opportunities do not require a Ph.D. in mathematics or statistics but a brief basic of math, algebra, and statistics along with the brief knowledge is required to start a successful machine learning course.

We teach machine learning right from the scratch. We assume that you don’t have any prior knowledge in machine learning before starting the course. So what you are waiting for? Contact DummyByte for 6 months industrial training in Chandigarh.