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 »27 Great Resources About Logistic Regression
This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I… Read More »Stochastic Processes and New Tests of Randomness – Application to Cool Number Theory Problem
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 »13 Great Articles About K-Nearest-Neighbors And Related Algorithms
You may even call it post-doctorship, as the level is beyond the traditional PhD degree. It is not a degree, not competing with university programs,… Read More »First Doctorship in Data Science
You may even call it post-doctorship, as the level is beyond the traditional PhD degree. It is not a degree, not competing with university programs,… Read More »First Doctorship in Data Science
This article is by Bill Vorhies. Summary: We’re stuck. There hasn’t been a major breakthrough in algorithms in the last year. Here’s a survey of the… Read More »What Comes After Deep Learning
These results are relatively easy to prove (first year college-level calculus needed) and could be a good test to refresh your math skills. We posted… Read More »Two Beautiful Mathematical Results
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple… Read More »A Simple Introduction to Complex Stochastic Processes – Part 2
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a… Read More »A Simple Introduction to Complex Stochastic Processes – Part 2
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 »18 Great Articles About Predictive Analytics
