{"product_id":"practical-data-science-with-r-9781617295874","title":"Practical Data Science with R","description":"\u003cp\u003eThis invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. \u003c\/p\u003e \u003cbr\u003e \u003cp\u003ePractical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. \u003c\/p\u003e \u003cbr\u003e \u003cp\u003e\u003cb\u003eKey features\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e- Data science and statistical analysis for the business professional \u003c\/p\u003e \u003cp\u003e- Numerous instantly familiar real-world use cases \u003c\/p\u003e \u003cp\u003e- Keys to effective data presentations \u003c\/p\u003e \u003cp\u003e- Modeling and analysis techniques like boosting, regularized regression, and quadratic discriminant analysis\u003c\/p\u003e \u003cbr\u003e \u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhile some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science.\u003c\/p\u003e \u003cbr\u003e \u003cp\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBusiness analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNina Zumel \u003c\/b\u003eand\u003cb\u003e John Mount \u003c\/b\u003eare co-founders of Win-Vector LLC, a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at \u003c\/p\u003e \u003cp\u003ewin-vector.com.\u003c\/p\u003e \u003cp\u003e\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-7339173\"\u003eNina Zumel\u003c\/a\u003e, \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=AUTH-4314632\"\u003eJohn Mount\u003c\/a\u003e\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/13\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 483\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.00lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.10h x 7.40w x 1.10d\u003cbr\u003e\u003cb\u003eISBN13:\u003c\/b\u003e 9781617295874\u003cbr\u003e\u003cb\u003eISBN10:\u003c\/b\u003e 1617295876\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-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-COM\"\u003eComputers\u003c\/a\u003e | \u003ca href=\"https:\/\/sureshotbooks-com.myshopify.com\/search?type=product%2Carticle%2Cpage\u0026amp;q=BISAC-COM051240\"\u003eSoftware Development \u0026amp; Engineering | Systems Analysis \u0026amp; Desi\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-COM051330\"\u003eSoftware Development \u0026amp; Engineering | Quality Assurance \u0026amp; Tes\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eNina Zumel\u003c\/b\u003e co-founded Win-Vector, a data science consulting firm in San Francisco. She holds a PH.D. in robotics from Carnegie Mellon and was a content developer for EMC's Data Science and Big Data Analytics Training Course. Nina also contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eJohn Mount\u003c\/b\u003e co-founded Win-Vector, a data science consulting firm in San Francisco. He has a Ph.D. in computer science from Carnegie Mellon and over 15 years of applied experience in biotech research, online advertising, price optimization and finance. He contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization.","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":44523481235693,"sku":"9781617295874","price":66.65,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0550\/8097\/6621\/products\/img_03b7a00e-20ed-4da8-a268-e381974fe908.jpg?v=1701319876","url":"https:\/\/sureshotbooks.com\/products\/practical-data-science-with-r-9781617295874","provider":"SureShot Books Publishing LLC","version":"1.0","type":"link"}