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Buch. Condition: Neu. Probability and Statistics for Data Science | Math + R + Data | Norman Matloff | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9780367260934 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.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.