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 is part of a series featuring the following aspects of machine learning: Mathematics, simulations, benchmarking algorithms based on synthetic data (in short, experimental data… Read More »Fun Math Problems for Machine Learning Practitioners
Orbit of the Riemann zeta function in the complex plane (see also here) Despite my long statistical and machine learning career both in academia and… Read More »Fascinating Facts About Complex Random Variables and the Riemann Hypothesis
Source: here Here is what I learned from practicing machine learning in business settings for over two decades, and prior to that in the academia. Back… Read More »What I Learned From 25 Years of Machine Learning
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
