Akash Palrecha - BITS-ACM Blog

A Framework to Design your own learning Pathway in Data Science

In this article, I will be talking about perhaps the most important aspect of getting into AI or Data Science — a framework for deciding how, where, and when to learn your data science concepts.

Machine Learning

Understanding the jargon: AI Sub-fields

In this article, we will attempt to de-mystify all the jargon that is associated with artificial intelligence and data science. But first, we’ll need to understand the very basics of how an AI algorithm works to be able to better gauge what the content given below means. Here are

Machine Learning

The Undergrad’s Guide to AI - Introduction

If you’re reading this, then you’re probably thinking about learning the theoretical and or practical underpinnings of Artificial Intelligence, Data Science, Data Analytics, Machine Learning, Deep Learning, Reinforcement Learning, Computer Vision or Natural Language Processing. All these terms are very prevalent and used interchangeably throughout industry and academia