Artículos relacionados a Introduction to Probability for Data Science

Introduction to Probability for Data Science - Tapa dura

Chan, Stanley

 
9781607857464: Introduction to Probability for Data Science
Tapa dura
ISBN 10: 1607857464 ISBN 13: 9781607857464
Editorial: Michigan Publishing Services, 2021

Sinopsis

[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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Acerca del autor

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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Editorial
Michigan Publishing Services
Año de publicación
2021
Idioma
Inglés
ISBN 10 
1607857464
ISBN 13 
9781607857464
Encuadernación
Tapa dura
Número de páginas
704
Contacto del fabricante
no disponible
Persona responsable
no disponible