Visualization

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 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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Books Courses Deep Learning Explainable AI Featured Posts Generative AI Machine Learning Natural Language Processing Python Synthetic Data Time Series Visualization

New Book: State of the Art in GenAI & LLMs — Creative Projects, with Solutions

With 23 top projects, 96 subprojects, and 6000 lines of Python code, this vendor-neutral coursebook is a goldmine for any analytic professional or AI/ML engineer interested in developing superior GenAI or LLM enterprise apps using ground-breaking technology. This is not another book discussing the same topics that you learn in bootcamps, college classes, Coursera, or […]

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

Sampling Outside the Observation Range with Quantile Convolution

All of the GenAI apps that I tested, including my own, have the same problem. They cannot easily generate data outside the observation range. As an example, let’s focus on the insurance dataset discussed in my new book. I use it to generate synthetic data with GAN (generative adversarial networks) and the NoGAN models discussed […]

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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 Data Sets Explainable AI Featured Posts Machine Learning Synthetic Data Visualization

New Book on Synthetic Data: Version 3.0 Just Released

Update on March 3, 2023: Version 4.0 has been released and now replaces version 3.0 on the e-Store. It contains a new full chapter on enhanced generative adversarial networks (GANs) with comparison to copula-based methods for data synthetization, with illustrations on real-life datasets. The book has considerably grown since version 1.0. It started with synthetic […]

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Experimental Math Featured Posts Machine Learning Visualization

Math-free, Parameter-free Gradient Descent in Python

Entitled “Math-free, Parameter-free Gradient Descent in Python”, the full version in PDF format is accessible in the “Free Books and Articles” section, here.  I discuss techniques related to the gradient descent method in 2D. The goal is to find the minima of a target function, called the cost function. The values of the function are computed at […]

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Data Sets Featured Posts Machine Learning Synthetic Data Time Series Visualization

New Interpolation Methods for Data Synthetization and Prediction

Entitled “New Interpolation Methods for Synthetization and Prediction”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This article is an extract from my book “Synthetic Data and Generative AI”, available here. I describe little-known original interpolation methods with applications to real-life datasets. These simple techniques are easy to implement and can […]

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Explainable AI Featured Posts Machine Learning Synthetic Data Visualization

Empirical Optimization with Divergent Fixed Point Algorithm – When All Else Fails

Entitled “Empirical Optimization with Divergent Fixed Point Algorithm – When All Else Fails”, 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. While the technique discussed here is a last resort solution when all else fails, it is […]

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Courses Explainable AI Featured Posts Machine Learning Synthetic Data Visualization

Course: Synthetic Data and Interpretable Machine Learning

This live course is based on my book “Synthetic Data”, available here. Participants will receive a free copy of this book. The information below provides a brief overview of the course. To be notified about our next live classes, sign-up to our newsletter. Currently, the course is offered via our certification program, described here.  Course Description […]

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