Articles liés à Introduction to Probability for Data Science

Introduction to Probability for Data Science - Couverture rigide

Chan, Stanley

 
9781607857464: Introduction to Probability for Data Science
Couverture rigide
ISBN 10 : 1607857464 ISBN 13 : 9781607857464
Editeur : Michigan Publishing Services, 2021

Synopsis

[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?

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Michigan Publishing Services
Date d'édition
2021
Langue
anglais
ISBN 10 
1607857464
ISBN 13 
9781607857464
Reliure
Relié
Nombre de pages
704
Coordonnées du fabricant
non disponible
Personne responsable
non disponible