Time Series

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New Book: Synthetic Data

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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The Sound that Data Makes

Featured in chapter 11 in my book “Intuitive Machine Learning and Explainable AI”, available here. It is common these days to read stories about the sound of black holes, deep space or the abyss. But what if you could turn your data into music? There are a few reasons one might want to do this. First, […]

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Featured Posts Machine Learning Statistical Science Synthetic Data Time Series Visualization

Machine Learning Cloud Regression: The Swiss Army Knife of Optimization

Entitled “Machine Learning Cloud Regression: The Swiss Army Knife of Optimization”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. Also discussed in details with Python code in chapter 1 in my book “Intuitive Machine Learning and Explainable AI”, available here. Many machine learning and statistical techniques exist as seemingly unrelated, […]

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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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Featured Posts Machine Learning Statistical Science Stochastic Systems Time Series

Gentle Introduction to Linear Algebra, with Spectacular Applications

This material is also discussed in details with Python code in chapter 3 in my book “Intuitive Machine Learning and Explainable AI”, available here. 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 […]

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