Mehryar Mohri -- Foundations of Machine Learning - Book
Download (official online versions from MIT Press): book (PDF, HTML). lecture slides. Hardcopy (MIT Press, Amazon). Errata (printing 1). Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar MIT Press, Second Edition, 2018. Copyright in this Work has been licensed exclusively to The MIT Press, http://mitpress.mit.edu, under a Creative Commons CC-BY-NC-ND license.
Companion webpage to the book "Mathematics for Machine Learning"
Companion webpage to the book "Mathematics for Machine Learning". Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press. View the Project on GitHub View On GitHub Please link to this site using https://mml-book.com. Twitter: @mpd37, @AnalogAldo, @ChengSoonOng. We wrote a book on Mathematics for Machine Learning that motivates people to
The Little MLer
The book, written in the style of The Little Schemer, introduces instructors, students, and practicioners to type-directed functional programming. It covers basic types, quickly moves into datatypes, and ends with a coverage of functional programming with modules. The book uses a minimal core of SML, which can easily be translated into the various ML dialects (SML/NJ, CAML). Enjoy! Table of Conten
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