TY  - BOOK
AU  - Matloff, Norman
TI  - Probability and statistics for data science: Math + R + data 
SN  - 9781138393295
U1  - 519.5 MAT-N 
PY  - 2019///
CY  - Boca Raton
PB  - CRC Press
KW  - Mathematical statistics
KW  - Mathematical statistics--Data processing
KW  - Probabilities
KW  - Probabilities--Data processing
KW  - R (Computer program language)
N1  - 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."
ER  -