{"product_id":"probability-and-statistics-for-data-science-math-r-data-9781138393295","title":"Probability and Statistics for Data Science: Math + R + Data","description":"\u003cp\u003e\u003cstrong\u003eProbability and Statistics for Data Science: Math + R + Data\u003c\/strong\u003e covers \"math stat\"--distributions, expected value, estimation etc.--but takes the phrase \"Data Science\" in the title quite seriously: \u003c\/p\u003e\u003cp\u003e* Real datasets are used extensively. \u003c\/p\u003e\u003cp\u003e* All data analysis is supported by R coding. \u003c\/p\u003e\u003cp\u003e* Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks.\u003c\/p\u003e\u003cp\u003e* Leads the student to think critically about the \"how\" and \"why\" of statistics, and to \"see the big picture.\"\u003c\/p\u003e\u003cp\u003e* Not \"theorem\/proof\"-oriented, but concepts and models are stated in a mathematically precise manner.\u003c\/p\u003e\u003cp\u003ePrerequisites are calculus, some matrix algebra, and some experience in programming.\u003c\/p\u003e\u003cp\u003eNorman 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 \u003ci\u003eJournal of Statistical Software \u003c\/i\u003eand \u003ci\u003eThe R Journal\u003c\/i\u003e. His book \u003ci\u003eStatistical Regression and Classification: From Linear Models to Machine Learning\u003c\/i\u003e was the recipient of the Ziegel Award for the best book reviewed in \u003ci\u003eTechnometrics\u003c\/i\u003e in 2017. He is a recipient of his university's Distinguished Teaching Award.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-12457434\"\u003eNorman Matloff\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/20\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 412\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.40lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.10h x 6.10w x 0.90d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781138393295\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1138393290\u003cbr\u003e\u003cb\u003eBISAC Categories:\u003c\/b\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-BUS\"\u003eBusiness \u0026amp; Economics\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-BUS061000\"\u003eStatistics\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM021030\"\u003eData Science | Data Analytics\u003c\/a\u003e\u003cbr\u003e- \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=CAT-MAT\"\u003eMathematics\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-MAT029000\"\u003eProbability \u0026amp; Statistics | General\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNorman Matloff\u003c\/strong\u003e 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 \u003ci\u003eJournal of Statistical Software \u003c\/i\u003eand \u003ci\u003eThe R Journal\u003c\/i\u003e. His book \u003ci\u003eStatistical Regression and Classification: From Linear Models to Machine Learning\u003c\/i\u003e was the recipient of the Ziegel Award for the best book reviewed in \u003ci\u003eTechnometrics\u003c\/i\u003e in 2017. He is a recipient of his university's Distinguished Teaching Award.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":44394917986541,"sku":"9781138393295","price":134.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/products\/img_dc0c5953-5c8b-4d75-b673-48ec5952f4bd.jpg?v=1699548251","url":"https:\/\/sureshotbooks.com\/es\/products\/probability-and-statistics-for-data-science-math-r-data-9781138393295","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}