20 Handbooks on Modern Statistical Methods
With the two most recent ones, in this CRC series, published in January 2019. The objective of the series is to provide high-quality volumes covering… Read More »20 Handbooks on Modern Statistical Methods
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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).
10 Machine Learning Methods that Every Data Scientist Should Know
Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field makes… Read More »10 Machine Learning Methods that Every Data Scientist Should Know
A Strange Family of Statistical Distributions
I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer > 1. … Read More »A Strange Family of Statistical Distributions
Extreme Events Modeling Using Continued Fractions
Continued fractions are usually considered as a beautiful, curious mathematical topic, but with applications mostly theoretical and limited to math and number theory. Here we… Read More »Extreme Events Modeling Using Continued Fractions
Extreme Events Modeling Using Continued Fractions
Continued fractions are usually considered as a beautiful, curious mathematical topic, but with applications mostly theoretical and limited to math and number theory. Here we… Read More »Extreme Events Modeling Using Continued Fractions
A Strange Family of Statistical Distributions
I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer… Read More »A Strange Family of Statistical Distributions
Data Cleaning and Wrangling With R
Originally posted by Michael Grogan. One of the big issues when it comes to working with data in any context is the issue of data cleaning… Read More »Data Cleaning and Wrangling With R
Six Degrees of Separation Between Any Two Data Sets
This is an interesting data science conjecture, inspired by the well known six degrees of separation problem, stating that there is a link involving no… Read More »Six Degrees of Separation Between Any Two Data Sets
Two New Deep Conjectures in Probabilistic Number Theory
The material discussed here is also of interest to machine learning, AI, big data, and data science practitioners, as much of the work is based… Read More »Two New Deep Conjectures in Probabilistic Number Theory
Comparing Model Evaluation Techniques
In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques In this post,… Read More »Comparing Model Evaluation Techniques