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).
I was in the process of computing some definite integrals involving special mathematical constants, when I discovered WolframAlpha. It solves tons of mathematical problems, for… Read More »Great Mathematical API by Wolfram
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »18 Great Blogs Posted in the last 12 Months
After posting Machine Learning Summarized in One Picture, we posted a picture for data science. You can check it out here. Other articles published since Monday… Read More »Data Science Summarized in One Picture
Guest blog post by Rubens Zimbres, PhD. This article brings images from my work modeling with Mathematica, my experience as a Business Analyst and also my… Read More »Data Science, Machine Learning, BI Explained in a Amazing Paragraphs
Here is an update from Zacharias Voulgaris, Data Science Author, Video Producer, and Acquisitions Consultant. The message below is from Zacharias. 1. Produced Videos for O’Reilly Safari… Read More »Two New Data Science Books
After posting Machine Learning Summarized in One Picture, here is a picture for data science: I tried to find the source for this picture, but could… Read More »Data Science Summarized in One Picture
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 »21 Great Articles and Tutorials on Time Series
Actually, this is about two R versions (standard and improved), a Python version, and a Perl version of a new machine learning technique recently published here.… Read More »Python vs R: 4 Implementations of Same Machine Learning Technique
When dealing with time series, the first step consists in isolating trends and periodicites. Once this is done, we are left with a normalized time… Read More »How and Why: Decorrelate Time Series
More and more people are talking about the new economy, and in particular, the role played by robots. As jobs are being eliminated and replaced… Read More »For tax purposes, how do you define a robot?
