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).
In less than 100 pages, the book covers all important topics about discrete chaotic dynamical systems. It also includes related time series and stochastic processes,… Read More »New Book: Gentle Introduction to Chaotic Dynamical Systems
Less than 24 hours after posting my previous Data Science Central article (here), dozens of illegitimate copies started to pop up on various websites. Below… Read More »Will ChatGPT Make Fraud Easier?
The correct term should be heuristic proof. It is not a formal proof from a mathematical point of view, but strong arguments based on empirical… Read More »An Empirical Proof of the Riemann Conjecture
Irrational numbers such as π may have been the first ones used to create perfect randomness and strong cryptographic systems. They were also among the… Read More »New Military-grade Random Bit Sequences Based on Irrational Numbers and Fast Computations
For many people, synthetic data is synonymous with simulations, mock or fake data. The reality is very different. The purpose of this article is to… Read More »Little-known Secrets About Synthetic Data
Synthetic data is used more and more to augment real-life datasets. It enriches them and allow black-box systems to correctly classify observations or predict values… Read More »New Book: Synthetic Data – Generation and Applications
While the comparison table in this article applies to a specific problem in FinTech, the conclusions are consistent with findings in other frameworks. There is… Read More »How to Choose the Best Machine Learning Technique: Comparison Table
This list is based on LinkedIn. Criteria for selection include the number of followers (above 50k), the relevancy and contributions to the field, relevant education… Read More »Machine Learning Superstars: The Top 30 Influencers To Follow in 2023
This 30 minutes video features my interview about the upcoming course “Intuitive Machine Learning”, based on my new book with the same title. Hosted by… Read More »Video: Introduction to Machine Learning
Data scientists spend 80% of their time on data cleaning and exploratory analysis. What if you could automate most of this? What if data scientists… Read More »How to Automate Data Cleaning, in a Nutshell
