R&D

What is the difference between conditional probability and probability?

In short, “Each conditional probability is a probability and the converse is also true.” The 1st part of the above statement is obvious but how is

How can I solve any question on finding the probability of an event in a job interview / written test?

Whenever you face probability questions, you find that the questions are very interesting but the answers are confusing. In many cases, you find that your intuition

Text Processing “vs.” Natural Language Processing

Text Processing and Natural Language Processing: What is the relation between these two terms? Are the two mutually exclusive? Is one a subset of the other?

Stock Price Prediction using AI

One of the most difficult things to do is predicting how the stock market will perform. But how about using AI for that matter?This article primarily

Reinforcement Learning Vs other paradigms of Machine Learning

From the amazing results of Atari games to deep minds victory with alpha go, from the stunning breakthroughs in robotic arm manipulation to even beating the

Generative Adversarial Networks

Facebook’s AI research director Yann LeCun called GAN “the most interesting idea in the last 10 years in ML. Generative Adversarial Networks are a powerful class of neural

A Comparative Study between R and Python for Text Data Processing

Data wants to change its form to useful information! Internet and interconnectivity of devices lead to the generation of data at a very high rate every

Software Quality Assurance and Machine Learning

Software Testing is a process of verifying and validating whether a software application is Bug-Free and built according to the requirements. Machine Learning, on the other

Scala for Big Data Engineering

Data Science as we all know is a combination of statistics and real-world programming. Data Scientists use a number of programming languages to extract insights and

Understanding Reinforcement Learning by solving Rubik’s Cube

By now, you must have become familiar with Reinforcement Learning along with buzz words such as environment, agent, policy, goal, and episode. We discussed this in