Matloff, Norman <br/><br/>
Probability and statistics for data science :  Math + R + data / 
Norman Matloff 
 - Boca Raton  CRC Press  2019 
 - 412p. 
 - Series in computer science and data analysis. .
<br/><br/> 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." 
<br/><br/><label>ISBN: </label>9781138393295 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical statistics<br/>Mathematical statistics--Data processing<br/>Probabilities<br/>Probabilities--Data processing<br/>R (Computer program language)
<br/><br/><label>Dewey Class. No.: </label>519.5 MAT-N