Probability And Statistics For Data Science: Math + R + Data

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Probability And Statistics For Data Science: Math + R + DataISBN13:9780367260934ISBN10:036726093XAuthor:Matloff, Norman (Author)Description:This Book 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 Theoremproof-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 Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2019-06-25Weight:1.7 lbsDimensions:1.1'' H x 9.3'' L x 6.2'' WNumber of Pages:444Language:English

Price: 204.5 USD

Location: USA

End Time: 2024-12-03T17:54:03.000Z

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