Probability and Statistics for Data Science

Norman Matloff ... 444 pages - Publisher: Routledge; (June, 2019) ... Language: English - ISBN-10: 1138393290 - ISBN-13: 978-1138393295.

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.

Probability and Statistics for Data Science, Norman Matloff

Post a Comment

Welcome to GeoTeknikk.COM: The Best and Newest Engineering Resources HERE. Do you want to chat on skype? Id: GeoTeknikk. ... We are at your service to share knowledge/resources. [We’re particularly passionate about girls' education. There is still a huge gender gap in education. We want to change this.] Join Us NOW.

Contact Form


Email *

Message *

Theme images by blue_baron. Powered by Blogger.