Probability and statistics for data science : Math + R + data / Norman Matloff
Material type:
- 9781138393295
- 519.5 MAT-N
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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BITS Pilani Hyderabad | 510 | General Stack (For lending) | 519.5 MAT-N (Browse shelf(Opens below)) | Available | 44982 |
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."
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