No Causation without representation!
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… Read More »No Causation without representation!
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Data Science
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Big Data: How it is Reshaping Retail
Plenty of new technologies have emerged. Some of them have quickly established themselves to virtually connect us as an integral part of, well, everything we… Read More »Big Data: How it is Reshaping Retail
On the Nature of Data, Flights of Birds, and New Beginnings
My name is Kurt Cagle. I am the new Community Editor for Data Science Central, or DSC as it is known by its fans. I’m… Read More »On the Nature of Data, Flights of Birds, and New Beginnings
Data Detectives
It has become evident that developments in analytics are creating new occupations. There has been much discussion about where new jobs will come from with… Read More »Data Detectives
Personal updates and DSC
After more than 10 years being involved with Data Science Central, initially as the founder, and most recently being acquired by TechTarget, I have decided… Read More »Personal updates and DSC
P Value vs Critical Value
P-values and critical values are so similar that they are often confused. They both do the same thing: enable you to support or reject the… Read More »P Value vs Critical Value
Statistical Distributions in One Picture
I can’t find anymore where this chart, featuring relations between distributions, was first published. I remember seeing it on the Cloudera blog. Another shorter one… Read More »Statistical Distributions in One Picture
Why we need more Bayesian trained data scientists than frequentist post COVID 19 ..
Earlier this week, I was speaking at an event on AI for Real Estate where I showed an example from a BBC clip which said… Read More »Why we need more Bayesian trained data scientists than frequentist post COVID 19 ..
Transforming Day-to-Day Decisions in the Enterprise
My views on how to effectively align daily decisions to business objectives At first glance, the odds of winning at rock-paper-scissors is one in three…… Read More »Transforming Day-to-Day Decisions in the Enterprise
ANOVA vs Regression in One Picture
If you scour the internet for “ANOVA vs Regression”, you might be confused by the results. Are they the same? Or aren’t they? The answer… Read More »ANOVA vs Regression in One Picture