Summary:  Here are our 6 predictions for data science, machine learning, and AI for 2018.  Some are fast track and potentially disruptive, some take the hype off over…

The format is very similar to a BIG cheat sheet. This cookbook integrates a variety of topics in probability theory and statistics. It is based on literature and in-class material from courses of…

There is entertainment. And there is data. Candidly, it never crossed my mind that the two can be on the same spectrum. Let alone within the same human. 

In fact, my earlier…

Guest blog post by Rubens Zimbres, PhD.

This article brings images from my work…

This post was written by Sean Owen. …

This post is the outcome of my studies in Neural Networks and a sketch for application of the Backpropagation algorithm. It's a binary classification task with N = 4 cases in a Neural…

Thousands of articles and tutorials have been written about data science and machine learning. Hundreds of books, courses and conferences are available. You could spend months just figuring out…

Most data scientists and statisticians agree that predictive modeling is both…

#1: What really is BIG Data?

Today, we can store and process so much data that we have nearly captured reality; no more sampling biases/ errors or related issues…

The definition of 'best' depends on which school you follow. Data science and classic statistical science are at the opposite ends of the spectrum. So let's clarify what 'best solution' means in…