Image courtesy of Julia Kozoski on Unsplash. While the technologies and techniques for analyzing, aggregating, and modeling data have largely kept pace with the demand...
Hello fellow Data Science-Centralists! I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to). The main thrust is...
Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. The science behind machine le...
Introduction Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify. T...
Data is the new oil that has been thrown around long enough to render it a cliché by this point. However, that doesn’t take away from the fact that data is among t...
At dinner with friends last Sunday, the topic of conversation fixated on — what else — the upcoming presidential election. That morning, a poll had been relea...
Interesting picture summarizing several types of techniques used in machine learning, contrasting unsupervised learning with unsupervised learning and reinforcement learn...
Knowledge of the basic rules of probability is a must-have for any data scientist. But if you’re a visual learner like me, learning the algebraic representations o...
My free book Bayesuvius now has 39 chapters. I had been postponing writing the chapters on Pearl causality until now, because I consider them to be the most important cha...