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Review of Pattern Recognition and Machine Learning (Information Science and Statistics)
4.10 stars Very Good Form 177 Reviews
Reviewed on: November 08, 2019 Author:
Price Range

$39 - $50

Where to Buy
Pros & Cons


  • Useful for beginners or advanced readers
  • Easy to understand
  • Withstands the test of time


  • Heavy focus on mathematics and probability
  • Dense read
Review Summary

This is the summary of consumer reviews for Pattern Recognition and Machine Learning (Information Science and Statistics). The BoolPool rating for this product is Very Good, with 4.10 stars, and the price range is $39 - $50.

Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop is a comprehensive but highly intellectual textbook good for those interested in the topic. It is useful for both students in the field and those learning the material, thanks to both introductory and advanced topics included. 

Customers say this textbook is not only good to learn pattern recognition and machine learning, but is a great reference on the topic for years to come. The author is clear and concise, but dives deep into the topic with much information included in the dense book. Readers say this book uses mathematics and algebra, along with probability, to understand theory behind machinery and pattern recognition, and helps a learner better understand the concepts behind the math.

Some say the author writes assuming the reader is already up to speed on mathematics and algebra. Those who are not may struggle to comprehend certain topics. However, others say even those just learning the material find it easy to learn. Also, the book is quite dense with material, so it is not considered an easy read.

User Voice
Pattern Recognition and Machine Learning (Information Science and Statistics)
great reference for those who want to learn machine learning and pattern recognition methods,.
Review Group #: 1 Rating :
4.50 stars
5 Reviews See Details
I like this book and refer to it quite a bit.
Review Group #: 2 Rating :
4.50 stars
8 Reviews See Details
I really recommend this book to anyone who's trying to understand the theoretical details of classical machine learning.
Review Group #: 3 Rating :
4.50 stars
11 Reviews See Details
You get excellent references, rigorous (mathematical) explanations and deep connections.
Review Group #: 4 Rating :
4.50 stars
15 Reviews See Details
The book is written very well.
Review Group #: 5 Rating :
3.50 stars
22 Reviews See Details
Book was extremely helpful in understanding theory.
Review Group #: 6 Rating :
4.00 stars
31 Reviews See Details
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