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Showing posts from December, 2020

Intro to Generative Adversarial Networks | GANs 001

   GANs consist of three terms Generative Adversarial Network. Let's understand these three terms first. Generative : A Generative Model takes input training sample from some distribution and learns to represents that distribution. Adversarial : It basically means Conflicting or Opposing. Networks : These are basically neural networks. So,Generative Adversarial Networks are deep neural network architecture comprising of two neural networks compete with each other to make a generative model. A GAN consist of two class models : Discriminative Model :- It is the one that discriminate between two different classes of data.It tries to identify real data from fakes created by the generator Generative Model :- The Generator turns noise into an imitation of the data to try to trick the discriminator Mathematically, A Generative Model 'G' to be trained on training data 'X' sampled from some true distribution 'D' is the one which, given some standard random distrib

Best PyThon IDEs | 2020

 What are IDEs ? The Integrated Development Environment is a software application that offers extensive software development facilities for computer programmers. The IDE usually consists of at least a source code editor, automation software, and a debugger. Here is a list of some the Best Python IDEs available.  1.PyCharm PyCharm is an Integrated Development Environment (IDE) used in computer programming, especially in the Python language. It is developed by the Czech company JetBrains. It offers code analysis, graphical debugger, integrated unit tester, integration with version control systems (VCS) and supports web creation with Django as well as data science with Anaconda. PyCharm is a cross-platform version of Windows, MacOS and Linux. 2.Anaconda Anaconda is a distribution of Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.) with the goal of simplifying package managemen

Most Difficult Programming Languages | 2020

Today we're going to look at the five most difficult programming languages to learn.   1. BrainFuck Brainfuck is an esoteric programming language developed by Urban Mülle in 1993.The language consists of only eight simple commands and an instruction pointer. It is not intended for practical use, but to challenge and amuse programmers. Although completely Turing is complete, it is not intended for practical use, but to challenge and entertain programmers. Brainfuck just needs to split commands into microscopic measures. 2.Cow The programming language was developed by Sean Heber in 2003 and is thus out of date. The idea behind the creation of COW was to play with various concepts that the maker had in mind. Surprisingly, the programming language was always intended to be complicated, and not only that, it wasn't meant to be used for any practical purpose at all. The Cow programming language was designed with the bovine in mind.As a result, all instructions are some variation on &

Top Programming Language To Learn | 2020

There are hundreds of Programming Languages to choose from, each with its own complexities.So, here is a list of  programming language to learn for a bright future .Although the field of computer programming changes rapidly, By learning one or more of these languages, you’ll be in an excellent position not only for this year, but in the years to come.  PYTHON Python is one of the most commonly used programming languages today and is easy for beginners to learn because of its readability. It is a free, open-source programming language with extensive support modules and community development, easy integration with web services, user-friendly data structures, and GUI-based desktop applications. It is a popular programming language for machine learning and deep learning applications.With wonderful libraries, great community support, simple syntax and easy to learn. Powerful ML and NPL libraries such as: PyTorch, Tensorflow, SpaCy.     JAVA   Java is one of the most common, in-d

The Complete Roadmap To Machine Learning | 2020

 What is Machine Learning? Machine Learning is the study of computer algorithms that allow computer programs to automatically improve through experience.Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. 1. Learn Programming Choose any programming language( Generally Python/R) and learn interactively and also learn the Fundamentals to Computer Science.          Resources   learnpython.org Python tutorials by Corey Schafer pythonprogramming.org   Learn Python The Hard Way Python Crash Course  2. Linear Algebra Lot of ML concepts are tied up with linear algebra. It also helps us to understand concepts like PCA and also you can build algorithms from scratch. Some important key concepts to learn are Matrices, Eigenvectors & Eigenvalues, Jacobian Matrix, Gradient

Top 5 Python Libraries | Must Learn 2020

A Python library is a reusable piece of code that you may want to use in your programs/projects. Compared to languages such as C++ or C, Python libraries do not have a clear background in Python.Today, more than 137,000 Python libraries are present. Python libraries play a crucial role in creating applications for machine learning, data science, visualization techniques, image and data manipulation, and more.   1. Pandas Pandas is a software library written for the Python programming language for data manipulation and analysis. Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. In particular, it offers data structures and operations for manipulating numerical tables and time series. Pandas has been one of the most popular and favorite data science tools used in Python programming language for data wrangling and analysis. Data is unavoidably messy in real world. And Pandas

Best Platforms to Improve Machine Learning Skills | 2020

 Machine learning is one of the most exciting techniques one has ever encountered.The field of study that gives computers the ability to learn without being explicitly programmed is machine learning.Their are platforms that can help you improve your Machine Learning skills. Today I've come up with the list of some of my favorite platforms.   Platforms to Improve Machine Learning Skills 1. Kaggle The online community of data scientists and machine learning practitioners is Kaggle, a subsidiary of Google LLC. Kaggle is the largest data science community in the world.Kaggle enables users in a web-based data-science environment to find and publish data sets, explore and build models, work with other data scientists and machine learning engineers, and enter competitions to solve challenges in data science.With it's free GPUs, high paying competitions,massive community , thousands on datasets and notebooks, this platform helps a lot. 2. Seedbank It was launched by  'TensorFlow

5 Games to Learn Coding 2021 | Learn Coding

Programming is enjoyable as soon as you know what you're doing but studying in conventional can be dull at times, these games can kill your boredom and teach you programming at the same time.  1.CODEMONKEY CodeMonkey teaches coding using CoffeeScript, a real programming language, to teach you to build your own games in HTML. It's aimed at coding for kids, but it's definitely fun for adults, too.  2.CODINGAME CodinGame is a challenge-based training platform for programmers where you can improve your coding skills with fun games. It offers up fun free games to help learn more than 25 programming languages, including JavaScript, Ruby, and PHP. 3.CODECOMBAT CodeCombat provides coding games for beginners and advanced programmers where you can improve your coding skills by solving engaging challenges and fun tasks. It is aimed at teachers and students, but anyone can play Learn Python, JavaScript, CoffeeScript, or the Lua game Scripting Language. 4.CODE WARS A Gameified way to pr