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).
The original version of the central limit theorem (CLT) assumes n independently and identically distributed (i.i.d.) random variables X1, …, Xn, with finite variance. Let… Read More »Central Limit Theorem for Non-Independent Random Variables
Source: here If you are wondering how much a data scientist earns, whether you are a hiring manager or looking for a job, there are… Read More »Salary Trends for Data Scientists and Machine Learning Professionals
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 »More Fun Math Problems for Machine Learning Practitioners
In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you work… Read More »The Machine Learning Process in 7 Steps
As a machine learning professional, I have worked for several startups ranging from zero to 600 employees, as well as companies such as eBay, Wells… Read More »The Pros and Cons of Working for a Startup
In this article, I illustrate the concept of asymmetric key with a simple example. Rather than discussing algorithms such as RSA, (still widely used, for… Read More »Simple Introduction to Public-Key Cryptography and Cryptanalysis: Illustration with Random Permutations
Many of us have solid foundations in math or have an interest in learning more, and are passionate about solving difficult problems during our free… Read More »Could Machine Learning Practitioners Prove Deep Math Conjectures?
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
