Covid: Predictions for the Next Ten Years
I am not a medical doctor, only a doctor in statistical science. Yet much of the political crisis has its origin rooted in data and… Read More »Covid: Predictions for the Next Ten Years
Home » Archives for Vincent Granville
Vincent Granville
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).
A New Machine Learning Optimization Technique – Part I
In this series, we discuss a technique to find either the minima or the roots of a chaotic, unsmooth, or discrete function. A root-finding technique… Read More »A New Machine Learning Optimization Technique – Part I
Lessons to be Learned from the Facebook Outage
Source: see last section in this article During the October 4, 2021 great Facebook outage, which lasted for over 6 hours, making all FB properties… Read More »Lessons to be Learned from the Facebook Outage
Is Machine Learning an Art, a Science or Something Else?
Source: see last section in this article Of course this question begs for the answer that it is both an art and a science. I… Read More »Is Machine Learning an Art, a Science or Something Else?
Machine Learning Career: Pros and Cons of Having a PhD
It is often said that data science jobs are for seasoned professionals, and many job ads still show a preference for a profile with a… Read More »Machine Learning Career: Pros and Cons of Having a PhD
Are Data Scientists Becoming Obsolete?
This question is raised on occasion. Salaries are not increasing as fast as they used to, though this is natural for any discipline reaching some… Read More »Are Data Scientists Becoming Obsolete?
Machine Learning Perspective on the Twin Prime Conjecture
This article focuses on the machine learning aspects of the problem, and the use of pattern recognition techniques leading to interesting, new findings about twin… Read More »Machine Learning Perspective on the Twin Prime Conjecture
The Inverse Problem in Random Dynamical Systems
Dynamical system used in weather prediction (see here) We are dealing here with random variables recursively defined by Xn+1 = g(Xn), with X1 being the… Read More »The Inverse Problem in Random Dynamical Systems
Orbits of Non-periodic Fourier Series: Simple Introduction, Cool Applications
These Fourier series can be considered as bivariate time series (X(t), Y(t)) where t is the time, X(t) is a weighted sum of cosine terms… Read More »Orbits of Non-periodic Fourier Series: Simple Introduction, Cool Applications
A Simple Regression Problem
This article is part of a new series featuring problems with solution, to help you hone your machine learning and pattern recognition skills. Try to… Read More »A Simple Regression Problem