How to Build Customize Maps in Power BI?
Originally posted by Deepak Kumar Gupta. A another interesting article on this topic can be found here. In Today’s data era, it is very important… Read More »How to Build Customize Maps in Power BI?
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).
Email Classification into relevant labels using Neural Networks
Originally posted by Deepak Kumar Gupta. Abstract In the real world, many online shopping websites or service provider have single email-id where customers can send their… Read More »Email Classification into relevant labels using Neural Networks
33 Statistical Concepts Explained in Simple English – Part 14
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 14
30 Statistical Concepts Explained in Simple English – Part 15
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 »30 Statistical Concepts Explained in Simple English – Part 15
How to Lie with P-values
P-values are used in statistics and scientific publications, much less so in machine learning applications where re-sampling techniques are favored and easy to implement today… Read More »How to Lie with P-values
31 Statistical Concepts Explained in Simple English – Part 9
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 »31 Statistical Concepts Explained in Simple English – Part 9
26 Statistical Concepts Explained in Simple English – Part 6
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 »26 Statistical Concepts Explained in Simple English – Part 6
Fun Math: Infinite Nested Radicals of Random Variables – Connection with Fractals and Brownian Motions
Some original and very interesting material is presented here, with possible applications in Fintech. No need for a PhD in math to understand this article:… Read More »Fun Math: Infinite Nested Radicals of Random Variables – Connection with Fractals and Brownian Motions
How to Become a Data Scientist on your Own
Originally posted by Zeeshan Usmani in May 2015. Big Data, Data Sciences, and Predictive Analytics are the talk of the town and it doesn’t matter which town… Read More »How to Become a Data Scientist on your Own
Complete Hands-Off Automated Machine Learning
By Bill Vorhies. Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as… Read More »Complete Hands-Off Automated Machine Learning