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Mehryar Mohri
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Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

by Mehryar Mohri (Author), Afshin Rostamizadeh (Author), Ameet Talwalkar (Author)
4.4 out of 5 stars 39 ratings
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Foundations of Machine Learning, second edition (Adaptive Computation and Machine Learning series)
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Previous page
  1. ISBN-10
    026201825X
  2. ISBN-13
    978-0262018258
  3. Publisher
    The MIT Press
  4. Publication date
    August 17, 2012
  5. Language
    English
  6. Dimensions
    9.1 x 7.1 x 1.1 inches
  7. Print length
    412 pages
  8. See all details
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Editorial Reviews

Review

In my opinion, the content of the book is outstanding in terms of clarity of discourse and the variety of well-selected examples and exercises. The enlightening comments provided by the author at the end of each chapter and the suggestions for further reading are also important features of the book. The concepts and methods are presented in a very clear and accessible way and the illustrative examples contribute substantially to facilitating the understanding of the overall work.

―Computing Reviews

Review

Finally, a book that is both broad enough to cover many algorithmic topics of machine learning and mathematically deep enough to introduce the required theory for a graduate level course. Foundations of Machine Learning is a great achievement and a significant contribution to the machine learning community.

―Yishay Mansour, School of Computer Science, Tel Aviv University

Product details

  • Publisher ‏ : ‎ The MIT Press (August 17, 2012)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 412 pages
  • ISBN-10 ‏ : ‎ 026201825X
  • ISBN-13 ‏ : ‎ 978-0262018258
  • Reading age ‏ : ‎ 18 years and up
  • Item Weight ‏ : ‎ 2.45 pounds
  • Dimensions ‏ : ‎ 9.1 x 7.1 x 1.1 inches
  • Customer Reviews:
    4.4 out of 5 stars 39 ratings

About the author

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Mehryar Mohri

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Mehryar Mohri is a Professor of computer science at the Courant Institute of Mathematical Sciences in New York University and a Researcher at Google. He grew up in Paris, France, graduated from Ecole Polytechnique, received his M.S. degree in mathematics and computer science from Ecole Normale Superieure de Paris in 1989, and his Ph.D. in computer science from the University of Paris Denis-Diderot in 1993. He worked for ten years at AT&T Bell Labs (or AT&T Labs - Research), including as a Department Head and a Technology Leader. His primary research areas are machine learning, text and speech processing, theory and algorithms, and computational biology.

Customer reviews

4.4 out of 5 stars
4.4 out of 5
39 global ratings
5 star
72%
4 star
14%
3 star
4%
2 star
4%
1 star
6%

Top reviews from the United States

POYI
5.0 out of 5 stars Great book condition.
Reviewed in the United States 🇺🇸 on April 22, 2022
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Yalin
5.0 out of 5 stars good book
Reviewed in the United States 🇺🇸 on December 24, 2021
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MR Brain
5.0 out of 5 stars Excellent book that everyone should learn from
Reviewed in the United States 🇺🇸 on June 23, 2015
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Jun Qi
5.0 out of 5 stars An excellent introductory textbook for theoretical machine learning
Reviewed in the United States 🇺🇸 on October 4, 2018
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Yuval Peres
5.0 out of 5 stars carefully chosen notation and a wonderful choice of topics
Reviewed in the United States 🇺🇸 on April 24, 2018
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Keyulu
5.0 out of 5 stars Excellent book for undergraduates
Reviewed in the United States 🇺🇸 on December 15, 2013
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John
5.0 out of 5 stars Five Stars
Reviewed in the United States 🇺🇸 on February 16, 2018
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Tyler Hill
1.0 out of 5 stars Do not buy the Kindle Version... its unreadable
Reviewed in the United States 🇺🇸 on March 3, 2015
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C
4.0 out of 5 stars An excellent textbook, pair with a lecture series to maximise its value
Reviewed in the United Kingdom 🇬🇧 on March 9, 2017
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5.0 out of 5 stars Cubre lo básico
Reviewed in Spain 🇪🇸 on March 19, 2022
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Mr. Bubble Waffle
4.0 out of 5 stars Interesante
Reviewed in Mexico 🇲🇽 on November 15, 2017
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Aldo
5.0 out of 5 stars Buon libro.
Reviewed in Italy 🇮🇹 on December 29, 2012
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Ahmed Saad ElShinawi
5.0 out of 5 stars Awesome Book
Reviewed in Germany 🇩🇪 on February 15, 2020
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