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).
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation,… Read More »Variance, Clustering, and Density Estimation Revisited
These articles were controversial in the sense that they highlighted the differences between data science and other disciplines, at a time when many believed that… Read More »15 Most Controversial Data Science Articles
A simple way to find great articles and resources on popular subjects such as data science, machine learning, deep learning, Python, R , data sets,… Read More »R, Python, Machine Learning, Dataviz: Most Popular Resources
Guest blog post by Harry Powell, Head of Advanced Data Analytics at Barclays. I was at a meetup in Oxford recently and one of the speakers,… Read More »Big Data and Data Science. Some reflections on compensation levels
Anyone who attended statistical training at the college level has been taught the four rules that you should always abide by, when developing statistical models… Read More »Biased vs Unbiased: Debunking Statistical Myths
Impact craters are distributed randomly on Mars and many other celestial bodies. Their radius most likely follow an exponential distribution. By estimating the mean of… Read More »Mars Craters: An Interesting Stochastic Geometry Problem
Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of… Read More »43 New External Machine Learning Resources and Updated Articles
Guest blog post by By Jacob Joseph, originally posted here. In the world of data analysis, one tool is often left unused. While being a very powerful… Read More »How to Use Cohort Data to Analyze User Behavior
Written in R, Python, Perl, C, and JavaScript, performing tasks such as web crawling, encryption, simulation, regression, NLP, or visualizations. 14 Useful Code Snippets Source… Read More »14 Useful Code Snippets
Here I discuss my prediction about the worst 15-year long (yet unabated) real estate bubble: this is an example where visualizations, when not carefully selected… Read More »Treacherous Visualizations: How To Detect and Fix Them
