In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages… Read More »New Book: Statistical Optimization for GenAI and Machine Learning
The Mathematics of AI
The mathematics rubric includes articles that focus primarily upon the mathematical underpinnings of machine learning, data analytics and cognitive computing. These articles either cover mathematical notation extensively or deal with mathematical principles that influence the code and models used in data science.
Not long ago, I published an article entitled “The Sound that Data Makes”. The goal was turning data — random noise in this case —… Read More »The music of the Riemann Hypothesis: Sound Generation in Python
In my last project, I had to come up with some code and algorithm to solve an interesting problem. I realized that it could lead… Read More »An Intriguing Job Interview Question for AI/ML Professionals
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
If you want any more proof about how much AI has integrated itself into our daily lives, go no further than the map on your… Read More »AI Effectiveness Starts by Understanding User Intent
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
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
The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications – especially in deep learning and image processing.
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