Transforming Careers

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

AI: Cognitive Content Marketing to Competitive Intelligence

“Siri, Could you tell me the cricket score?” We are already experiencing cognitive augmentation using the systems that are progressing every day, using Artificial Intelligence. Siri

How can I solve any question on finding the probability of an event in a job interview / written test? (Part 1)

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?

Adarsh Srivastava, Rennes School of Business

Though Internships are Difficult in FRANCE, they are Possible: Adarsh Srivastava Bonjour!Meet our Student Adarsh Srivastava  Adarsh a prior Assistant Systems Engineer had a passion to

FAQs – Resume Building

There are several questions that job-seekers frequently fail to answer in their resumes. So, we have created the Resume FAQs to answer all your questions to

The Ten Commandments of Resume Building!

Whether you have recently graduated or taking a break to upgrade your skills or making a career shift, you need to have the right resume to

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