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Christopher M. Bishop
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PATTERN RECOGNITION AND MACHINE LEARNING Paperback – 23 August 2016

by Christopher M. Bishop (Author)
4.3 4.3 out of 5 stars 112 ratings
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  1. ISBN-10
    0241973376
  2. ISBN-13
    978-1493938438
  3. Edition
    Softcover reprint of the original 1st ed. 2006
  4. Publisher
    Springer
  5. Publication date
    23 August 2016
  6. Part of series
    Information Science and Statistics
  7. Language
    English
  8. Dimensions
    17.78 x 3.84 x 25.4 cm
  9. Print length
    738 pages
  10. See all details
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Product description

About the Author

​Chris Bishop is a Microsoft Distinguished Scientist and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, and in 2007 he was elected Fellow of the Royal Society of Edinburgh. 
Chris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. He then joined Culham Laboratory where he worked on the theory of magnetically confined plasmas as part of the European controlled fusion programme.   

Product details

  • ASIN ‏ : ‎ 1493938436
  • Publisher ‏ : ‎ Springer; Softcover reprint of the original 1st ed. 2006 edition (23 August 2016)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 738 pages
  • ISBN-10 ‏ : ‎ 0241973376
  • ISBN-13 ‏ : ‎ 978-1493938438
  • Item Weight ‏ : ‎ 1 kg 920 g
  • Dimensions ‏ : ‎ 17.78 x 3.84 x 25.4 cm
  • Country of Origin ‏ : ‎ USA
  • Customer Reviews:
    4.3 4.3 out of 5 stars 112 ratings

About the author

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Christopher M. Bishop

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Christopher Michael Bishop (born 7 April 1959) FREng, FRSE, is the Laboratory Director at Microsoft Research Cambridge and professor of Computer Science at the University of Edinburgh and a Fellow of Darwin College, Cambridge. Chris obtained a Bachelor of Arts degree in Physics from St Catherine's College, Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory.

Bio from Wikipedia, the free encyclopedia. Photo by MSRCambridge (Own work) [CC BY-SA 4.0 (http://creativecommons.org/licenses/by-sa/4.0)], via Wikimedia Commons.

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Ajay D.
4.0 out of 5 stars Suggestion to Springer The comment is not on the contents ...
Reviewed in India 🇮🇳 on 1 March 2016
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Machine_Learning_God
4.0 out of 5 stars It is better in comparison with "Foundations of Machine Learning
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niks
5.0 out of 5 stars perfect book if u need core of machine learning
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3.0 out of 5 stars Great book but don't buy India edition
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5.0 out of 5 stars Good Book.
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4.0 out of 5 stars Four Stars
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Cliente de Kindle
5.0 out of 5 stars Excelent book
Reviewed in Mexico 🇲🇽 on 17 November 2022
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Amazonのお客様
4.0 out of 5 stars 「式は最低限」でもしっかり書いてある
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deep-blunderer
5.0 out of 5 stars Excellent introductory text
Reviewed in Singapore 🇸🇬 on 23 January 2021
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deep-blunderer
5.0 out of 5 stars Excellent introductory text
Reviewed in Singapore 🇸🇬 on 23 January 2021
Despite the year of publication, this remains an excellent introductory text to ML, and I highly recommend it to any beginner to anyone who wants to get a start in the field.

Unfortunately, the book arrived with damage on the spine and cover, perhaps because of the limited padding used during shipping.
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Amazon Customer
3.0 out of 5 stars Mediocre quality for its price.
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1.0 out of 5 stars Kindle版は数式がちゃんと表示されない
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