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).
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,… Read More »20 Cheat Sheets: Python, ML, Data Science, R, and More
Guest blog post by Steve Miller. A year ago, I posted an article on the disturbing 57% increase in Chicago homicides for 2016. There’s been… Read More »Chicago Homicides 2017, a Follow-Up Look with R
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 »25 Statistical Concepts Explained in Simple English – Part 2
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
