Mathematics for Machine Learning 1st Edition, Kindle Edition

4.7 out of 5 stars 367 ratings
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ISBN-13: 978-1108470049
ISBN-10: 1108470041
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From the Publisher

Mathematics for Machine Learning, Cambridge University Press, linear algebra

Editorial Reviews

Book Description

This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. --This text refers to an alternate kindle_edition edition.

Book Description

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning. --This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B083M7DBP6
  • Publisher ‏ : ‎ Cambridge University Press; 1st edition (April 23, 2020)
  • Publication date ‏ : ‎ April 23, 2020
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 17588 KB
  • Simultaneous device usage ‏ : ‎ Up to 4 simultaneous devices, per publisher limits
  • Text-to-Speech ‏ : ‎ Not enabled
  • Enhanced typesetting ‏ : ‎ Not Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 398 pages
  • Lending ‏ : ‎ Not Enabled
  • Customer Reviews:
    4.7 out of 5 stars 367 ratings

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Customer reviews

4.7 out of 5 stars
4.7 out of 5
367 global ratings

Top reviews from the United States

Reviewed in the United States on April 28, 2020
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45 people found this helpful
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Reviewed in the United States on August 3, 2020
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Reviewed in the United States on May 9, 2020
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Reviewed in the United States on May 7, 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 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

Amazon Customer
2.0 out of 5 stars Surprised at positive reviews
Reviewed in the United Kingdom on August 22, 2021
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3 people found this helpful
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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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5 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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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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7 people found this helpful
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Amazon customer.
4.0 out of 5 stars Demands mathematical rigor.
Reviewed in India on November 4, 2021
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9 people found this helpful
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