Articles

The problem has to do with sampling, random numbers and probability distributions, so it is of interest to our community. As Scott Aaronson describes it in… Read More »The problem that Google Solved with Quantum Supremacy

This document is an attempt to provide a summary of the mathematical background needed for an introductory class in machine learning, which at UC Berkeley… Read More »The Math of Machine Learning – Berkeley University Textbook

Correlation coefficients enable to you find relationships between a wide variety of data. However, the sheer number of options can be overwhelming. This picture sums… Read More »Correlation Coefficients in One Picture

This article was written by Cassie Kozyrkov.   You’ve probably heard of machine learning and artificial intelligence, but are you sure you know what they are?… Read More »The simplest explanation of machine learning you’ll ever read

I recently came across an interesting account by a practical data scientist on how to munge 25 TB of data. What caught my eye at first… Read More »AWK — a Blast from Wrangling Past.

The explanation of Logistic Regression as a Generalized Linear Model and use as a classifier is often confusing. In this article, I try to explain… Read More »Explaining Logistic Regression as Generalized Linear Model (in use as a classifier)

I am presenting at the upcoming NISS (National Institute of Statistical Sciences) webinar on September 27. This was my first employer in US, back in… Read More »Applications of Data Analytics

I grew up in a small manufacturing town in Northeast Iowa.  The factory in my hometown made tractors (no surprise given that it was Iowa),… Read More »How AI/ML Could Return Manufacturing Prowess Back to US

Guest blog post by Nabanita Roy. Introduction: The art and science of discriminating between writing styles of authors by identifying the characteristics of the persona of… Read More »Introduction to Authorship Analysis as a Text Classification/Clustering Problem