Vincent Granville
Data Science Central
Seattle, WA, United States
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Past articles by Vincent:
An Empirical Proof of the Riemann Conjecture
How to use the MPmath Python library to explore a famous mathematical conjecture → Read More
A New Machine Learning Optimization Technique
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 that works… → Read More
A New Machine Learning Optimization Technique
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 that works… → Read More
Lessons to be Learned from the Facebook Outage
Source: see last section in this article The October 4, 2021 great Facebook outage, which lasted for over 6 hours, making all FB properties (including Instagr… → Read More
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 view it more like craftsmanship.… → Read More
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 PhD, with years of exper… → Read More
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 maturity. So… → Read More
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 very interesting, new findings a… → Read More
The Inverse Problem in Random Dynamical Systems
We are dealing here with random variables recursively defined by Xn+1 = g(Xn), with X1 being the initial condition. The examples discussed here are simple, di… → Read More
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 of arbitrary periods,… → Read More
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 solve thi… → Read More
Covid-19: Fundamental Statistics that are Ignored
This is not a discussion as to whether the data is flawed or not, or whether we are comparing apples to oranges or not (the way statistics are gathered in diff… → Read More
Central Limit Theorem for Non-Independent Random Variables
The original version of the central limit theorem (CLT) assumes n independently and identically distributed (i.i.d.) random variables X1, ..., Xn, with finite… → Read More
Salary Trends for Data Scientists and Machine Learning Professionals
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 plenty of websites providi… → Read More
More Fun Math Problems for Machine Learning Practitioners
This is part of a series featuring the following aspects of machine learning: Mathematics, simulations, benchmarking algorithms based on synthetic data (in s… → Read More
The Machine Learning Process in 7 Steps
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 for,… → Read More
The Pros and Cons of Working for a Startup
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 Fargo, Vi… → Read More
Could Machine Learning Practitioners Prove Deep Math Conjectures?
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 time. Of c… → Read More
Fun Math Problems for Machine Learning Practitioners
This is part of a series featuring the following aspects of machine learning: Mathematics, simulations, benchmarking algorithms based on synthetic data (in… → Read More
Fascinating Facts About Complex Random Variables and the Riemann Hypothesis
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 in the in… → Read More