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).
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
Using AI and data science, an MIT team was able to accurately predict rogue waves coming out of the blue in the middle of the… Read More »MIT Algorithm Predicts Rogue Waves in Real Time to Save Lives
Guest blog post by Charlie Silver, CEO of Algebraix Data. Originally entitled ‘Data Algebra Does Big Data’. Algebra is powerful. It enables people to solve for… Read More »Math or Engineers — who will solve the big data problem?
Guest blog by Justin B. Dickerson, PhD, MBA, PStat, Chief Data Scientist at Snap Advances. Okay, that headline was meant to get your attention. But… Read More »5 Ways to Get Fired as a Data Scientist
Guest blog by Jay Gendron, Associate Data Scientist at Booz Allen Hamilton; Author; Data Analytics; Speaker. Happy Groundhog Day! Happy National Prediction Day? In today’s… Read More »Groundhogs. I choose to celebrate National Prediction Day
