Featured Posts Machine Learning Statistical Science Stochastic Systems Synthetic Data Time Series

Weird Random Walks: Synthetizing, Testing and Leveraging Quasi-randomness

Entitled “Weird Random Walks: Synthetizing, Testing and Leveraging Quasi-randomness”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. I discuss different types of synthetized random walks that are almost perfectly random, in one and two dimensions. Besides the theoretical interest, it provides new modeling tools, especially for physicists, engineers, natural […]

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Experimental Math Featured Posts Machine Learning Statistical Science

New Perspective on the Riemann Hypothesis

Entitled “New Perspective on the Riemann Hypothesis”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. In about 10 pages (plus Python code, exercises and figures), this article constitutes a scratch course on the subject. It covers a large range of topics, both recent as well as unpublished, in a […]

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Data Sets Machine Learning Podcasts Statistical Science Synthetic Data

Synthetic Data in Machine Learning: What, Why, How?

In this episode, Nicolai Baldin (CEO) and Simon Swan (Machine Learning Lead) of Synthesized are welcoming the founder of Data Science Central and MLTechniques.com Vincent Granville to discuss synthetic data generation, share secrets about Machine Learning on synthetic data, key challenges with synthetic data, and using generative models to solve issues related to fairness and […]

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Experimental Math Featured Posts Machine Learning Stochastic Systems Synthetic Data Visualization

Detecting Subtle Departures from Randomness

Entitled “Detecting Subtle Departures from Randomness”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Figure 1 below shows two plots arising from two different, non-periodic pseudo-random sequences of +1 and -1 in about equal proportions, distributed seemingly randomly. The left one is associated to prime numbers, assumed to be […]

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Books Explainable AI Featured Posts Machine Learning Statistical Science Synthetic Data Visualization

2nd Edition of My Book Now Published, with Python Code

The book covers supervised classification, including fractal classification, as well as unsupervised clustering, using an innovative approach. Datasets are first mapped onto an image, then processed using image filtering techniques. I discuss the analogy with neural networks, comparing very deep but sparse neural networks, with standard networks. Sponsors The free distribution of our content would […]

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Deep Learning Explainable AI Featured Posts Machine Learning Synthetic Data Visualization

Fast Classification and Clustering via Image Convolution Filters

Subtitled “Alternative to Generative Mixture Models”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. I explain, with Python code and numerous illustrations, how to turn traditional tabular data into images, to perform both clustering and supervised classification using simple image filtering techniques. I also explain how to generalize the […]

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Books Machine Learning

Math for Machine Learning: 14 Must-Read Books

It is possible to design and deploy advanced machine learning algorithms that are essentially math-free and stats-free. People working on that are typically professional mathematicians. These algorithms are not necessarily simpler. See for instance a math-free regression technique with prediction intervals, here. Or supervised classification and alternative to t-SNE, here. Interestingly, this latter math-free machine […]

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Data Sets Featured Posts Machine Learning Visualization

The Art of Visualizing High Dimensional Data

Entitled “The Art of Visualizing High Dimensional Data”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This article discusses enriched visualizations, with a focus on animated gifs and videos built in Python. For instance, the comet video displayed below can feature several dimensions that are difficult to show in […]

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Featured Posts Machine Learning Statistical Science Stochastic Systems Time Series

Gentle Introduction to Linear Algebra, with Spectacular Applications

This is not a traditional tutorial on linear algebra. The material presented here, in a compact style, is rarely taught in college classes. It covers a wide range of topics, while avoiding excessive use of jargon or advanced math. The fundamental tool is the power of a matrix, and its byproduct, the characteristic polynomial. It […]

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Explainable AI Featured Posts Machine Learning ML with Excel Statistical Science Synthetic Data Visualization

Fuzzy Regression: A Generic, Model-free, Math-free Machine Learning Technique

Some people climb Mount Everest solo in winter, with no oxygen. Some mathematicians prove difficult theorems using only elementary arithmetic. The proof, despite labeled as “elementary” is typically far more complicated than those based on advanced mathematical theory. The people accomplishing these feasts are very rare. Introduction For years, I have developed machine learning techniques […]

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