Introduction to Probability for Data Science by Chan, Stanley

Introduction to Probability for Data Science (Hardcover) (ISBN-13: 9781607857464)

Vendor: Stanley Chan
Product type: Books
Format: Hardcover
$70.00
$70.00
$70.00
Subtotal: $70.00
Introduction to Probability for Data Science by Chan, Stanley

Introduction to Probability for Data Science

$70.00
Introduction to Probability for Data Science by Chan, Stanley

Introduction to Probability for Data Science

$70.00
Format: Hardcover
Description
Description
x
[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?


Author: Stanley Chan
ISBN-10: 1607857464
ISBN-13: 9781607857464
Publisher: Michigan Publishing Services
Language: English
Published: 11/05/2021
Pages: 704
Format: Hardcover
Weight: 3.25lbs
Size: 10.20h x 6.90w x 1.70d
By Stanley Chan
By Stanley Chan
x
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.

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