
Gentle Introduction to Linear Algebra, with Spectacular Applications
- Vincent Granville
- May 31, 2022
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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Fuzzy Regression: A Generic, Model-free, Math-free Machine Learning Technique
- Vincent Granville
- May 22, 2022
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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New Book: Approaching (Almost) Any Machine Learning Problem
- Vincent Granville
- May 17, 2022
This self-published book is dated July 2020 according to Amazon. But it appears to be an ongoing project. Like many new books, the material is on GitHub, here. The most recent version, dated June 2021, is available in PDF format, here. This is not a traditional book. It feels like a repository of Python code, […]
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New Book: Interpretable Machine Learning
- Vincent Granville
- May 10, 2022
Subtitled “A Guide for Making Black Box Models Explainable”. Authored and self-published by Christoph Molnar, 2022 (319 pages). This is actually the second edition, the first one was published in 2019. According to Google Scholar, it was cited more than 2,500 times. So this is a popular book about a popular topic. General Comments The […]
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New Book: Efficient Deep Learning
- Capri Granville
- May 8, 2022
Subtitled “Fast, smaller, and better models”. This book goes through algorithms and techniques used by researchers and engineers at Google Research, Facebook AI Research (FAIR), and other eminent AI labs to train and deploy their models on devices ranging from large server-side machines to tiny microcontrollers. The book presents a balance of fundamentals as well […]
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Little Known Secrets about Interpretable Machine Learning on Synthetic Data
- Vincent Granville
- May 7, 2022
Entitled “Little Known Secrets about Interpretable Machine Learning on Synthetic Data”, the full version in PDF format is accessible in the “Free Books and Articles” section, here. This first article in a new series on synthetic data and explainable AI, focuses on making linear regression more meaningful and controllable. Includes synthetic data, advanced machine learning with Excel, […]
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