Books

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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New Book: Stochastic Processes and Simulations

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 Poisson-binomial process, as the gateway to all the stochastic processes. Such models have started to gain considerable momentum […]

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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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