Ah, the fond memories of the early days of Saturday Night Live and the hilarious “Point / Counterpoint” debates between Jane Curtin and Dan Aykroyd. I can just imagin...
This article was written by Bharat Girdhar. I was always intrigued by the concept of computers taking a decision on behalf of humans. Though the concept of machine learni...
How oversampling yielded great results for classifying cases of Sexual Harassment. The problem: Overcoming an imbalanced data set When it comes to data science, sexual ha...
In my previous article, we analyzed the COVID-19 data of Turkey and selected the cubic model for predicting the spread of disease. In this article, we will show in detail...
(This article is now a chapter of my github proto-book Bayesuvius) Simpson’s paradox is a recurring nightmare for all statisticians overseeing a clinical trial for ...
Correlation is a measure of linear association between two variables X and Y, while linear regression is a technique to make predictions, using the following model: Y�...
Data, an organization’s intellectual asset, must be treated and regularly enriched to remain useful and valuable. Over 80% of companies we’ve worked with, — includi...
The following graphic is based on Sam Priddy’s excellent DSC/Tableau Webinar How to Accelerate and Scale Your Data Science Workflows. Sam covered many interesting ...
I just uploaded a new chapter to my github proto-book “Bayesuvius”. This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networ...
Data scientist ranks third on the list of LinkedIn emerging jobs of 2020. Similarly, it ranks first on Glassdoor’s hottest jobs of 2020. The data scientist role has b...