Learn everything about Analytics

Home Articles Posted by Tavish Srivastava

Posts by : Tavish Srivastava

Author / 120 Posts
Tavish is an IIT post graduate, a results-driven analytics professional and a motivated leader with 7+ years of experience in data science industry. He has led various high performing data scientists teams in financial domain. His work range from creating high level business strategy for customer engagement and acquisition to developing Next-Gen cognitive Deep/Machine Learning capabilities aligned to these high level strategies for multiple domains including Retail Banking, Credit Cards and Insurance. Tavish is fascinated by the idea of artificial intelligence inspired by human intelligence and enjoys every discussion, theory or even movie related to this idea.
,

Introduction Deep learning has proved its supremacy in the world of supervised learning, where we clearly define the tasks that need to be accomplished. …

,

Introduction Here’s something you don’t hear everyday – everything we perceive is just a best case probabilistic prediction by our brain, based on our …

,

Introduction Artificial Neural Networks (ANN) were supposed to replicate the architecture of the human brain, yet till about a decade ago, the only common …

,

Introduction Machine learning and Artificial Intelligence developments are happening at breakneck speed! At such pace, you need to understand the developments at multiple levels …

,

Note: This article was originally published on Oct 10, 2014 and updated on Mar 27th, 2018 Introduction In four years of my career into …

,

Can we create a flawless winning strategy in a Casino using Data Science? Of course not! Otherwise, all the data scientists out there would …

,

Introduction Today’s post is going to be very different from all the post I have published till now. For past few months, I have …

,

Introduction Solving case studies is a great way to keep your grey cells active. You get to use math, logic and business understanding in …

,

In previous few articles (beginner, intermediate and queuing theory), we have completed a variety of case studies used in operation analytics. One of which …

,

Introduction Don’t be a data scientist whose models fail to get deployed! An epic example of model deployment failure is from Netflix Prize Competition. In …