Books

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New Book: Intuitive Machine Learning and Explainable AI

Intuitive Machine Learning with focus on explainable AI, human-friendly intelligence, powerful visualizations and applications. By Vincent Granville Ph.D, published in September 2022. PDF format, 156 pages. Version 1.0 with Python code. The book is available here. For my upcoming course based on this book, see here. This book covers the foundations of machine learning, with modern […]

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

2nd Edition of My Book Now Published, with Python Code

The book covers supervised classification, including fractal classification, as well as unsupervised clustering, using an innovative approach. Datasets are first mapped onto an image, then processed using image filtering techniques. I discuss the analogy with neural networks, comparing very deep but sparse neural networks, with standard networks. Sponsors The free distribution of our content would […]

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Books Machine Learning

Math for Machine Learning: 14 Must-Read Books

It is possible to design and deploy advanced machine learning algorithms that are essentially math-free and stats-free. People working on that are typically professional mathematicians. These algorithms are not necessarily simpler. See for instance a math-free regression technique with prediction intervals, here. Or supervised classification and alternative to t-SNE, here. Interestingly, this latter math-free machine […]

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Books Machine Learning

New Book: Approaching (Almost) Any Machine Learning Problem

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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Books Explainable AI Machine Learning

New Book: Interpretable Machine Learning

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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Books Deep Learning Machine Learning

New Book: Efficient Deep Learning

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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Books Machine Learning ML with Excel Visualization

Upcoming Books and Articles on MLTechniques.com

The future of machine learning and artificial intelligence. Here I share my roadmap for the next 12 months. While I am also looking for external contributors and authors to add more variety, my focus — as far as my technical content is concerned — is to complete the following projects and publish the material on this platform. All my blog posts will be available to everyone.

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Books Explainable AI Featured Posts Machine Learning ML with Excel Statistical Science Stochastic Systems Synthetic Data Visualization

New Book: Stochastic Processes and Simulations – A Machine Learning Perspective

New edition with Python code. Described as a “gem” or “masterpiece” by some readers. Buy the book here. Introduction This scratch course on stochastic processes covers significantly more material than usually found in traditional books or classes. The approach is original: I introduce a new yet intuitive type of random structure called perturbed lattice or […]

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Books Machine Learning

Book Review: Probabilistic Machine Learning

By Kevin Murphy, MIT Press (2022). This is one of the best machine learning books that I purchased in the last few years. Very comprehensive, covering a lot of statistical science too. The level is never too high, despite a few advanced concepts being discussed. There is a lot of focus on applications, especially image […]

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