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).
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
This is another interesting problem, off-the-beaten-path. It ends up with a formula to compute the integral of a function, based on its derivatives solely. For… Read More »From Infinite Matrices to New Integration Formula
The following articles were hand-picked, and curated by one of our interns. They cover dozens of topics of interest to data scientists. Precision vs significance… Read More »12 Great Curated Blogs About Data Science
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »19 Great Articles About Natural Language Processing (NLP)
Here we describe a simple methodology to produce predictive scores that are consistent over time and compatible across various clients, to allow for meaningful comparisons… Read More »How to Stabilize Data Systems, to Avoid Decay in Model Performance
