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  • Introduction to Probability for Data Science

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Introduction to Probability for Data Science

by Stanley Chan (Author)
4.9 out of 5 stars (18)
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[from the Preface] This introductory textbook in undergraduate probability emphasizes the inseparability between data (computing) and probability (theory) in our time. It examines the motivation, intuition, and implication of the probabilistic tools used in science and engineering:
  1. Motivation: In the ocean of mathematical definitions, theorems, and equations, why should we spend our time on this particular topic but not another?
  2. Intuition: When going through the deviations, is there a geometric interpretation or physics beyond those equations?
  3. Implication: After we have learned a topic, what new problems can we solve?
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  1. ISBN-10
    1607857464
  2. ISBN-13
    978-1607857464
  3. Publisher
    Michigan Publishing Services
  4. Publication date
    November 5, 2021
  5. Language
    English
  6. Dimensions
    7 x 1.4 x 10 inches
  7. Print length
    704 pages
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Editorial Reviews

About the Author

Stanley H. Chan is an associate professor of electrical and computer engineering, and an associate professor of statistics, at Purdue University, West Lafayette. His research areas include computational photography, image processing, and machine learning. At Purdue, he teaches undergraduates probability and graduates machine learning. He is a recipient of Purdue University College of Engineering Exceptional Early Career Teaching Award, the Ruth and Joel Spira Outstanding Teaching Award, Purdue Teaching for Tomorrow Fellow, among other awards.

Product details

  • Publisher ‏ : ‎ Michigan Publishing Services
  • Publication date ‏ : ‎ November 5, 2021
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 704 pages
  • ISBN-10 ‏ : ‎ 1607857464
  • ISBN-13 ‏ : ‎ 978-1607857464
  • Item Weight ‏ : ‎ 3.25 pounds
  • Dimensions ‏ : ‎ 7 x 1.4 x 10 inches
  • Best Sellers Rank: #1,584,998 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.9 out of 5 stars (18)

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Stanley H. Chan

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4.9 out of 5 stars
18 global ratings
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  • Tito Flavio
    5.0 out of 5 stars Overshoots expectations
    Reviewed in Italy on April 25, 2022
    Format: HardcoverVerified Purchase
    Prof. Chan is straightforward and engaging in his exposition like a storyteller would be. He also puts the probability in context with excellent examples from everyday science applications.
    The book presents examples in both Matlab and Python and, in the companion website, in Julia (the new "big thing"); all the scripts (Matlab, Python and Julia) are available on the book's website ordered by chapter and downloadable as a zip. In my personal opinion, it is by far the best book I have ever seen so far on the subject.
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