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).
These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor,… Read More »40 Techniques Used by Data Scientists
We recently posted a challenge: creating data videos. You can check the challenge here, including training material and data to produce these videos, with open source… Read More »Challenge of the Week – Solution from one of the Participants
Guest blog post by Martijn Theuwissen, co-founder at DataCamp.Other Python resources can be found here. Python is widely used for data analysis and you might have considered… Read More »The Guide to Learning Python for Data Science
Guest blog post by Gaurav Agrawal, COO at Soothsayer Analytics. In today’s world of big data and the internet of things, it is common for a business… Read More »Spectral Clustering – How Math is Redefining Decision Making
Introduction We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation,… Read More »Variance, Clustering, and Density Estimation Revisited
These articles were controversial in the sense that they highlighted the differences between data science and other disciplines, at a time when many believed that… Read More »15 Most Controversial Data Science Articles
A simple way to find great articles and resources on popular subjects such as data science, machine learning, deep learning, Python, R , data sets,… Read More »R, Python, Machine Learning, Dataviz: Most Popular Resources
Guest blog post by Harry Powell, Head of Advanced Data Analytics at Barclays. I was at a meetup in Oxford recently and one of the speakers,… Read More »Big Data and Data Science. Some reflections on compensation levels
Anyone who attended statistical training at the college level has been taught the four rules that you should always abide by, when developing statistical models… Read More »Biased vs Unbiased: Debunking Statistical Myths
Impact craters are distributed randomly on Mars and many other celestial bodies. Their radius most likely follow an exponential distribution. By estimating the mean of… Read More »Mars Craters: An Interesting Stochastic Geometry Problem
