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).
Each of these articles were viewed between 15,000 and 100,000 times, and were shared countless times. They were posted on Data Science Central in 2015.… Read More »12 Most Popular Data Science Articles in 2015
Guest blog post by Tony Abraham, Nikhita Koul, Joe Morales. A data science exploration of rap lyrics and what it takes to make it onto the billboard… Read More »Our Berkeley Data Science Capstone Project: Rap Analysis
In this article, I summarize the components of any data science / machine learning / statistical project, as well as the cross-dependencies between these components.… Read More »Architecture of Data Science Projects
Here we discuss general applications of statistical models, whether they arise from data science, operations research, engineering, machine learning or statistics. We do not discuss… Read More »24 Uses of Statistical Modeling (Part I)
Here is a non-exhausting list of curious problems that could greatly benefit from data analysis. If you think you can’t get a job as a… Read More »33 unusual problems that can be solved with data science
You can download the new machine learning cheat sheet here (PDF format, 14 pages.) Originally published in 2014 and viewed more than 200,000 times, this is the… Read More »Machine Learning and Data Science Cheat Sheet
