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).
Here we discuss a new system to represent numbers, for instance constants such as Pi, e, or log 2, using rational fractions. Each iteration doubles… Read More »Representation of Numbers with Incredibly Fast Converging Fractions
I recently posted an article featuring a non traditional approach to find large prime numbers. The research section of this article offers interesting challenges, both… Read More »Can you solve these mathematical / statistical problems?
Large prime numbers have been a topic of considerable research, for its own mathematical beauty, as well as to develop more powerful cryptographic applications and… Read More »Data Science Method to Discover Large Prime Numbers
This is our third post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive… Read More »25 Timeless Data Science Articles
In this article, you will learn some modern techniques to detect whether a sequence appears as random or not, whether it satisfies the central limit… Read More »How to Detect if Numbers are Random or Not
Here I discuss four interesting mathematical problems (mostly involving famous unsolved conjectures) of considerable interest, and that even high school kids can understand. For the… Read More »Four Weird Mathematical Objects
This is our first post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive… Read More »15 Timeless Data Science Articles
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this… Read More »Book: Machine Learning with R – Second Edition
We have published various “one picture” articles about data science topics. Our readers find them very useful, as they convey the same amount of information… Read More »The Future of Data Science in One Picture
In this article, we discuss a general machine learning technique to make predictions or score transnational data, applicable to very big, streaming data. This hybrid… Read More »State-of-the-Art Machine Learning Automation with HDT
