Introducing the “4 Stages of Data Monetization”
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...
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Three fallacies about Covid-19
It is surprising to see the level of innumeracy in the population, even in college-educated professionals. People still have blind faith in so-called experts and journali...
My First Neural Network
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...
Overcoming an Imbalanced Dataset using Oversampling.
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...
Model Selection: Adjusted Coefficient of Determination-Variance Tradeoff
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...
Simpson’s Paradox, the Bane of Clinical Trials
(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 ...
Difference Between Correlation and Regression in Statistics
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 Decay and Data Enrichment
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...
How to Communicate Data
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 ...
Added Chapter on Reinforcement Learning to my book “Bayesuvius” on Bayesian Networks
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...