Explainable AI - Machine Learning Techniques

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Data Synthetization: enhanced GANs vs Copulas

Using case studies, I compare generative adversarial networks (GANs) with copulas to synthesize tabular data. I discuss back-end and front-end improvements to help GANs better replicate the correlation structure present in the real data. Likewise, I discuss methods to further improve copulas, including transforms, the use of separate copulas for each population segment, and parametric […]

Books Explainable AI Featured Posts Machine Learning Synthetic Data

Data Synthetization Explained in One Picture

The diagram is organized as follows. Dashed blue lines are associated to GANs (generative adversarial networks), where the goal is to produce a sequence of synthetic datasets that get better and better at mimicking the structure present in the real data, over successive iterations. The diagram features 5 such iterations, with the synthetized datasets denoted […]

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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 […]

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 […]

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 […]

Explainable AI Featured Posts Podcasts Synthetic Data

Podcast: Synthetic Data and Generative AI – Importance, Misconceptions and Applications

Fireside chat: Synthetic data – importance, misconceptions and applications In this video, Vincent talks about how synthetic data can be leveraged across various industries to enhance predictions and test blackbox systems leading to more fairness and transparency in AI. Hosted by Victor Chima, co-founder at Learncrunch.com. Topics discussed include: To learn more about synthetic data […]

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. For enrollment or inquiries, follow this link. Course Description The performance of machine learning algorithms such as classification, clustering, regression, decision trees or neural networks […]

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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. […]

Computer Vision Data Sets Explainable AI Featured Posts Machine Learning Synthetic Data Visualization

Spectacular Videos: Synthetic Universes, with Star Collision Graph

Entitled “Spectacular Videos: Synthetic Universes, with Star Collision Graph”, 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. This project started as an attempt to generate simulations for the three-body problem in astronomy: studying the orbits of three […]

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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