Activation Functions in Neural Network

Activation functions are used to determine the output of the neural network. it is used to find accuracy, and also the computational efficiency of traininga model. They also have a profound effect on how neural networks will change and what the speed of convergence will be. In some cases, activation functions can also prevent neural networks from converging.

Joseph Birla


Data Mining - Things You Didn't Know About

Have you ever wondered about “people patterns”? People in tropical climates wear cotton, and those in cooler climates wear wool. This is a consumer pattern that is true globally. Easy right?

Ankit Sahu


Artificial Intelligence With Python

In this section, we will center rational programming and how it helpsin Artificial Intelligence.

Rishi Baghel


11 AI Startups Of India That You Should Know About

Did you know that there are more than 10,000 startups in India working in the AI ​​field? This number is even bigger than some of the developed countries. Whether it's healthcare, retail, law, fashion, manufacturing or banking, almost every industry in India is using AI to invent new forms of business.

Ankit Sahu


What Does A Data Scientist Do?-A Detailed Explanation

What is the similarity between the headlines you see on your News app, Google search rankings, your Netflix homepage, and your Spotify playlist? Think about it ... take a minute.

Ankit Sahu


Developer Special

Understanding LSTM Networks

Posted on August 27, 2015



AI with Python – Gaming

Games are played with a strategy. Every player or team would make a strategy before starting the game and they have to change or build a new strategy according to the current situation(s) in the game.



Normalizing your data (specifically, input and batch normalization)

In this post, I'll discuss considerations for normalizing your data - with a specific focus on neural networks. In order to understand the concepts discussed, it's important to have an understanding of gradient descent.



Matplotlib - Scatter Plot

Scatter plots are used to plot data points on horizontal and vertical axis in the attempt to show how much one variable is affected by another. Each row in the data table is represented by a marker the position depends on its values in the columns set on the X and Y axes. A third variable can be set to correspond to the color or size of the markers, thus adding yet another dimension to the plot.

Nahida Khan


Violin plots

Violin plots are similar to box plots, but they also show at different values ,the probability density of data.A marker for the median of the data and a box indicating the interquartile range are included in these plots, as in the standard box plots. Overlaid on this box plot is a kernel density estimation. It used to represent comparison of a variable distribution (or sample distribution) across different "categories".

Sahil Parvez


Latest Updates

How do I start my Data Science Career?

I would say that my data science learning path was fairly traditional. I did my undergrad in economics and have master’s degrees in global commerce and computer science (concentration in machine learning and artificial intelligence). I learned my business acumen from my coursework during my commerce degree and picked up most of the technical elements from my master’s in CS. I had a data science internship, and I was on my way.



8 Questions which you should know before starting Data Science Career

It is all well and good to learn the technical skills that you need to become a data scientist. I think that it is also extremely important to learn to think like a data scientist. That means always questioning…basically everything



How to do Face Animation using AI

The process of recording with real human camera movements for the purpose of retrieving those direct movements in a computer-generated environment is called Motion Capture.



AI in the Banking industry

Artificial Intelligence which is also called natural language processing (NLP) and is being used by the branch to automate document processing, analysis, and customer service activities. Three applications include:



AI with Python – Computer Vision

Computer vision is concerned with modeling and replicating human vision using computer software and hardware. In this chapter, you will learn in detail about this.