Probability and Statistics for Data Science

Probability and Statistics for Data Science
Author :
Publisher : CRC Press
Total Pages : 289
Release :
ISBN-10 : 9780429687112
ISBN-13 : 0429687117
Rating : 4/5 (12 Downloads)

Book Synopsis Probability and Statistics for Data Science by : Norman Matloff

Download or read book Probability and Statistics for Data Science written by Norman Matloff and published by CRC Press. This book was released on 2019-06-21 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.


Probability and Statistics for Data Science Related Books

Probability and Statistics for Data Science
Language: en
Pages: 289
Authors: Norman Matloff
Categories: Business & Economics
Type: BOOK - Published: 2019-06-21 - Publisher: CRC Press

DOWNLOAD EBOOK

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Sc
Statistics for Data Scientists
Language: en
Pages: 342
Authors: Maurits Kaptein
Categories: Computers
Type: BOOK - Published: 2022-02-02 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely com
Practical Statistics for Data Scientists
Language: en
Pages: 322
Authors: Peter Bruce
Categories: Computers
Type: BOOK - Published: 2017-05-10 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics r
Probability, Statistics, and Data
Language: en
Pages: 644
Authors: Darrin Speegle
Categories: Business & Economics
Type: BOOK - Published: 2021-11-26 - Publisher: CRC Press

DOWNLOAD EBOOK

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation.
Introduction to Probability for Data Science
Language: en
Pages: 0
Authors: Stanley H. Chan
Categories: Computer science and applied mathematics
Type: BOOK - Published: 2021 - Publisher: Michigan Publishing Services

DOWNLOAD EBOOK

"Probability is one of the most interesting subjects in electrical engineering and computer science. It bridges our favorite engineering principles to the pract