Mathematics for Machine Learning 1st Edition

4.7 out of 5 stars 266 ratings
ISBN-13: 978-1108455145
ISBN-10: 110845514X
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From the Publisher

Mathematics for Machine Learning, Cambridge University Press, linear algebra

Editorial Reviews

Review

‘This book provides great coverage of all the basic mathematical concepts for machine learning. I'm looking forward to sharing it with students, colleagues, and anyone interested in building a solid understanding of the fundamentals.' Joelle Pineau, McGill University, Montreal

‘The field of machine learning has grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This comprehensive text covers the key mathematical concepts that underpin modern machine learning, with a focus on linear algebra, calculus, and probability theory. It will prove valuable both as a tutorial for newcomers to the field, and as a reference text for machine learning researchers and engineers.' Christopher Bishop, Microsoft Research Cambridge

'This book provides a beautiful exposition of the mathematics underpinning modern machine learning. Highly recommended for anyone wanting a one-stop-shop to acquire a deep understanding of machine learning foundations.' Pieter Abbeel, University of California, Berkeley

Book Description

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
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Product details

  • Publisher : Cambridge University Press; 1st edition (April 1, 1920)
  • Language : English
  • Paperback : 398 pages
  • ISBN-10 : 110845514X
  • ISBN-13 : 978-1108455145
  • Item Weight : 1.76 pounds
  • Dimensions : 7 x 0.7 x 9.9 inches
  • Customer Reviews:
    4.7 out of 5 stars 266 ratings

Customer reviews

4.7 out of 5 stars
4.7 out of 5
266 global ratings
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Top reviews from the United States

Reviewed in the United States on April 28, 2020
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Reviewed in the United States on May 7, 2020
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Reviewed in the United States on May 9, 2020
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Reviewed in the United States on June 24, 2020
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Reviewed in the United States on June 11, 2020
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Reviewed in the United States on August 3, 2020
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Reviewed in the United States on September 13, 2020
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Reviewed in the United States on July 22, 2020
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Top reviews from other countries

Stefan Roesch
3.0 out of 5 stars Low proportion of exercises given the material
Reviewed in the United Kingdom on February 20, 2021
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4 people found this helpful
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Bruno R C Magalhaes
5.0 out of 5 stars Very good book to learn the mathematics behind machine learning
Reviewed in the United Kingdom on April 4, 2020
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8 people found this helpful
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Happy-go-lucky
5.0 out of 5 stars Book is unputdownable. It has surprised my expectation and it is truly well worth my money.
Reviewed in the United Kingdom on April 1, 2021
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astha malhotra
5.0 out of 5 stars Good math book for ml. Comprehensive
Reviewed in the United Kingdom on October 5, 2020
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jaime za
5.0 out of 5 stars Mathematics for machine learning book.
Reviewed in Mexico on November 18, 2020
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