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).
The results of this Kaggle survey were published recently. The questions addressed include: Introduction Survey Methodology Survey Participants- Basic Profile Educational profile of participants Job… Read More »State of Data Science & Machine Learning in 2018
I am presenting at the upcoming NISS (National Institute of Statistical Sciences) webinar on September 27. This was my first employer in US, back in… Read More »Applications of Data Analytics
Guest blog post by Nabanita Roy. Introduction: The art and science of discriminating between writing styles of authors by identifying the characteristics of the persona of… Read More »Introduction to Authorship Analysis as a Text Classification/Clustering Problem
By Dan Howarth and Ajit Jaokar, October 2019. 58 pages. CNN stands for Convolutional Neural Networks. Part 1 will introduce the core concepts of Deep… Read More »Free Book: Deep Learning and Computer Vision with CNNs
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 more… Read More »Six Degrees of Separation Between Any Two Data Sets
This chart communicates the same insights as a contour plot. What is interesting is the choice of hexagonal buckets (rather than squares) to aggregate data.… Read More »Interesting Type of Chart: Hexagonal Binning
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
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
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
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
