{"product_id":"9780367260934","title":"Probability and Statistics for Data Science","description":"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.","brand":"Norman Matloff","offers":[{"title":"Default Title","offer_id":45763105751358,"sku":"9780367260934","price":7525.35,"currency_code":"ZAR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4357\/7662\/products\/9780367260934_e885e4af-bc29-4632-b772-30ce9f77f830.jpg?v=1707246591","url":"https:\/\/exclusivebooks.co.za\/products\/9780367260934","provider":"Exclusive Books Online","version":"1.0","type":"link"}