{"product_id":"probability-and-statistics-for-data-science-math-r-data-chapman-hallcrc-data-science-series-036726093x","title":"Probability and Statistics for Data Science: Math + R + Data (Chapman \u0026 Hall\/CRC Data Science Series)","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 036726093X\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Matloff, Norman\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\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":"Mia Karts","offers":[{"title":"Default Title","offer_id":51813247746336,"sku":"NEW036726093X","price":241.12,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71dM96VsiEL.jpg?v=1781032702","url":"https:\/\/miakarts.com\/products\/probability-and-statistics-for-data-science-math-r-data-chapman-hallcrc-data-science-series-036726093x","provider":"Miakarts Books","version":"1.0","type":"link"}