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| Probability and Statistics for Data Science: Math + R + Data, 1st Edition from CRC Press | ||||||
 CRC Press has published Probability and Statistics for Data Science: Math + R + Data, 1st Edition.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. For more information, visit: * Amazon: https://amzn.to/2twl4Ha * Website: crcpress.com |
