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).
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
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
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
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
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
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
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
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
We have been in existence for over 10 years now, with content in many different places, lists, categories, and databases. This is an attempt to… Read More »Most Popular Content on DSC
I was invited at the recent Microsoft’s Azure Data and AI Tech Immersion event (March 2019) and we played a bit with various tools, including Azure… Read More »Azure Data Studio in One Picture
