Author and Publisher at MLtechniques.com. Machine learning scientist, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target).
Here are a few off-the-beaten-path problems at the intersection of computer science (algorithms), probability, statistical science, set theory, and number theory. While they can easily… Read More »Cool Problems in Probabilistic Number Theory and Set Theory
You will find here a few tables of random digits, used for simulation purposes and/or testing or integration in statistical, mathematical, and machine learning algorithms.… Read More »One Trillion Random Digits
Below is my contrarian answer to one question recently posted on Quora. It depends on what you mean by “no experience”. An NASA scientist who… Read More »Why do people with no experience want to become data scientists?
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »29 Statistical Concepts Explained in Simple English – Part 1
This question was recently posted on Quora. Below is my answer. It depends what kind of data scientist you want to become. I think many… Read More »Why is Becoming a Data Scientist so Difficult?
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »11 Great Articles about Stochastic Processes and Related Topics
By Ajit Jaokar and Cheuk Ting Ho. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. Introduction Enterprise… Read More »Free eBook: Enterprise AI – An Applications Perspective
Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now… Read More »Automated Deep Learning – So Simple Anyone Can Do It
In Part 1 of this article (see here) we featured the two results below, as well as a simple way to prove these formulas. Here, we… Read More »Two Beautiful Mathematical Results – Part 2
Back to the basics. Here we are dealing with the oldest data set, created billions of years ago — the set of integers — and… Read More »Number Representation Systems Explained in One Picture
