Two Beautiful Mathematical Results – Part 2
In Part 1 of this article (see here) we featured the two results below, as well as a simple way to prove these formulas. Here, we… Read More »Two Beautiful Mathematical Results – Part 2
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).
Number Representation Systems Explained in One Picture
Back to the basics. Here we are dealing with the oldest data set, created billions of years ago — the set of integers — and… Read More »Number Representation Systems Explained in One Picture
26 Great Articles and Tutorials about Regression Analysis
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, ouliers,… Read More »26 Great Articles and Tutorials about Regression Analysis
Number Theory: Nice Generalization of the Waring Conjecture
The Waring conjecture – actually a problem associated with a number of conjectures, many now being solved – is one of the most fascinating mathematical… Read More »Number Theory: Nice Generalization of the Waring Conjecture
Full Stack Data Scientist: The Elusive Unicorn and Data Hacker
This question was recently posted on Quora: What is a full stack data scientist? Below is my answer. Most answers focus on the technical skills… Read More »Full Stack Data Scientist: The Elusive Unicorn and Data Hacker
Sequence Modeling with Neural Networks – Part I
Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistical methods (Generalized Linear… Read More »Sequence Modeling with Neural Networks – Part I
Some Irresistible Integrals, Computed Using Statistical Concepts
Updated on Dec 12, 2018. An error was fixed when g(x) is not equal to x, and a new section “Generalization” was added. A link… Read More »Some Irresistible Integrals, Computed Using Statistical Concepts
Scale-Invariant Clustering and Regression
The impact of a change of scale, for instance using years instead of days as the unit of measurement for one variable in a clustering… Read More »Scale-Invariant Clustering and Regression
Scale-Invariant Clustering and Regression
The impact of a change of scale, for instance using years instead of days as the unit of measurement for one variable in a clustering… Read More »Scale-Invariant Clustering and Regression
Deep Dive into Polynomial Regression and Overfitting
In this article, we show that the issue with polynomial regression is not over-fitting, but numerical precision. Even if done right, numerical precision still remains… Read More »Deep Dive into Polynomial Regression and Overfitting