Stochastic Systems

Books Experimental Math Featured Posts Python Stochastic Systems Synthetic Data Visualization

New Book: 0 and 1 – From Elemental Math to Quantum AI

The book is available on our E-store, here.  It all started with the number 1. This e-book offers a trip deep into the most elusive and fascinating multi-century old conjecture in number theory: are the binary digits of the fundamental math constants evenly distributed? No one even knows if the proportions of ‘0’ and ‘1’ […]

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Data Sets Experimental Math Featured Posts Machine Learning Natural Language Processing Python Stochastic Systems

LLM Challenge with Petabytes of Data to Prove Famous Number Theory Conjecture

In my recent article “Piercing the Deepest Mathematical Mystery” posted here, I paved the way to proving a famous multi-century old conjecture: are the digits of major mathematical constant such as π, e, log 2, or √2 evenly distributed? No one before ever managed to prove even the most basic trivialities, such as whether the […]

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Data Sets Explainable AI Featured Posts Python Statistical Science Stochastic Systems Visualization

Visualizing Trading Strategies that Consistently Outperform the Stock Market

In this short paper, I discuss two topics. First, strategies to trade the S&P 500 index with few trades over long time periods, offering best exit, entry and re-entry points during the journey, to beat the baseline return. The baseline consists of staying long the whole time. The dataset has 40 years’ worth of daily […]

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

A Synthetic Stock Exchange Played with Real Money

Not only that, but you can predict — more precisely compute with absolute certainty — what the value of any stock will be tomorrow. Transaction fees are well below 0.05% and the market, at least in the version presented here, is fair: in other words, a zero-sum game if you play by luck. If instead […]

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Featured Posts Machine Learning Stochastic Systems Synthetic Data Visualization

Generating and Videolizing Agglomerative Processes

This short article explains how to efficiently simulate the evolution of agglomerative processes, and visualize their behavior with data animations. I use a generic, simple model for illustration purposes: atoms, initially consisting of one electron, collide and merge over time, with a pre-specified maximum number of electrons per atom: the maximum limit. Given enough time, […]

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Books Experimental Math Featured Posts Statistical Science Stochastic Systems

New Book: Gentle Introduction To Chaotic Dynamical Systems

In less than 100 pages, the book covers all important topics about discrete chaotic dynamical systems and related time series and stochastic processes, ranging from introductory to advanced, in one and two dimensions. State-of-the art methods and new results are presented in simple English. Yet, some mathematical proofs appear for the first time in this […]

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Books Featured Posts Machine Learning Stochastic Systems Time Series

Introduction to Discrete Chaotic Dynamical Systems

Entitled “Introduction to Discrete Chaotic Dynamical Systems”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This article is an extract from my book “Gentle Introduction to Chaotic Dynamical Systems”, available here. This is chapter 2 of my upcoming book on dynamical systems and related stochastic processes, expected to be […]

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Books Courses Explainable AI Featured Posts Machine Learning Statistical Science Stochastic Systems Time Series

Random Walks, Brownian Motions, and Related Stochastic Processes

Entitled “Random Walks, Brownian Motions, and Related Stochastic Processes”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This article is an extract from my book “Gentle Introduction to Chaotic Dynamical Systems”, available here. In about 15 pages, this scratch course covers a lot more material than expected in such […]

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Books Computer Vision Explainable AI Featured Posts Machine Learning Natural Language Processing Stochastic Systems Synthetic Data Time Series Visualization

New Book: Synthetic Data and Generative AI

Synthetic data is used more and more to augment real-life datasets, enriching them and allowing black-box systems to correctly classify observations or predict values that are well outside of training and validation sets. In addition, it helps understand decisions made by obscure systems such as deep neural networks, contributing to the development of explainable AI. […]

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Computer Vision Explainable AI Featured Posts Machine Learning Stochastic Systems Synthetic Data Visualization

Dynamic Clouds and Landscape Generation: Morphing and Evolutionary Processes

Entitled “Dynamic Clouds and Landscape Generation: Morphing and Evolutionary Processes”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Also discussed in details with Python code in my book “Synthetic Data”, available here. My previous article focused on map generation in 3D, and also features a fascinating video, see here. In this […]

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