17 Great ML Books and Funny Pictures
The following resources and books were hand-picked, and curated by one of our interns. They cover many topics of interest to data scientists, and most… Read More »17 Great ML Books and Funny Pictures
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).
33 Statistical Concepts Explained in Simple English – Part 10
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »33 Statistical Concepts Explained in Simple English – Part 10
Causality – The Next Most Important Thing in AI/ML
Summary: Finally there are tools that let us transcend ‘correlation is not causation’ and identify true causal factors and their relative strengths in our models. This is… Read More »Causality – The Next Most Important Thing in AI/ML
Some Fun with Gentle Chaos, the Golden Ratio, and Stochastic Number Theory
So many fascinating and deep results have been written about the number (1 + SQRT(5)) / 2 and its related sequence – the Fibonacci numbers… Read More »Some Fun with Gentle Chaos, the Golden Ratio, and Stochastic Number Theory
34 Great Articles and Tutorials on Clustering
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »34 Great Articles and Tutorials on Clustering
7 Simple Tricks to Handle Complex Machine Learning Issues
We propose simple solutions to important problems that all data scientists face almost every day. In short, a toolbox for the handyman, useful to busy… Read More »7 Simple Tricks to Handle Complex Machine Learning Issues
Debunking Forbes Article about the Death of the Data Scientist
In a recent article (February 2019) published in Forkes (see here) it was argued that there will be no data science job titles by 2029. The… Read More »Debunking Forbes Article about the Death of the Data Scientist
15 Great Articles about Bayesian Methods and Networks
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »15 Great Articles about Bayesian Methods and Networks
How to Automatically Determine the Number of Clusters in your Data – and more
Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don’t exhibit well separated clusters, and two human beings… Read More »How to Automatically Determine the Number of Clusters in your Data – and more
How to Automatically Determine the Number of Clusters in your Data – and more
Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don’t exhibit well separated clusters, and two human beings… Read More »How to Automatically Determine the Number of Clusters in your Data – and more