{"product_id":"probability-and-statistics-for-data-science-hardback","title":"Probability and Statistics for Data Science - Hardback","description":"\u003cp\u003eProbability 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.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":44569876955374,"sku":"9780367260934","price":277.1,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9780367260934_7eedcc5d-bf64-411a-b328-5426528d888c.jpg?v=1705484002","url":"https:\/\/bookland.com.au\/products\/probability-and-statistics-for-data-science-hardback","provider":"Book Land AU","version":"1.0","type":"link"}