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).
Source for picture: here The first part of this list was published here. These are articles that I wrote in the last few years. The… Read More »More Machine Learning Tricks, Recipes, and Statistical Models
Here some off-the-beaten-path options to consider, when looking for a first job, a new job or extra income by leveraging your machine learning experience. Many… Read More »Unusual Opportunities for AI, Machine Learning, and Data Scientists
We describe here a methodology that applies to any statistical test, and illustrated in the context of assessing independence between successive observations in a data… Read More »Simple Machine Learning Approach to Testing for Independence
Source: See article #5, in section 1 Part 2 of this short series focused on fundamental techniques, see here. In this Part 3, you will find… Read More »A Plethora of Machine Learning Tricks, Recipes, and Statistical Models
There are many ways chaos is defined, each scientific field and each expert having its own definitions. We share here a few of the most… Read More »Defining and Measuring Chaos in Data Sets: Why and How, in Simple Words
Source: here In my previous article here, I discussed a simple way to solve complex optimization problems in machine learning. This was illustrated in the case… Read More »Hurwitz-Riemann Zeta And Other Special Probability Distributions
Source: here There are numerous examples in machine learning, statistics, mathematics and deep learning, requiring an algorithm to solve some complicated equations: for instance, maximum… Read More »An Easy Way to Solve Complex Optimization Problems in Machine Learning
Source: see here Part 1 of this short series focused on the business analytics / BI / operational research aspects, see here. In this Part 2,… Read More »A Plethora of Machine Learning Articles: Part 2
Source: see here In Part 1 of this short series, I have included the most interesting articles that I wrote in the last few years.… Read More »A Plethora of Machine Learning Articles: Part 1
Bernoulli trials are random experiments with two possible outcomes: “yes” and “no” (in the case of polls), “success” and “failure” (in the case of gambling or clinical trials). The… Read More »Maximum runs in Bernoulli trials: simulations and results
