{"product_id":"the-data-science-design-manual-hardcover","title":"The Data Science Design Manual - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSteven S. Skiena\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis engaging and clearly written textbook\/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003eThe Data Science Design Manual\u003c\/i\u003e\u003c\/b\u003e is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles.\u003c\/p\u003e This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an \"Introduction to Data Science\" course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinctheft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAdditional learning tools: \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eContains \"War Stories,\" offering perspectives on how data science applies in the real world\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIncludes \"Homework Problems,\" providing a wide range of exercises and projects for self-study\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProvides a complete set of lecture slides and online video lectures at www.data-manual.com\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProvides \"Take-Home Lessons,\" emphasizing the big-picture concepts to learn from each chapter\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRecommends exciting \"Kaggle Challenges\" from the online platform Kaggle\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHighlights \"False Starts,\" revealing the subtle reasons why certain approaches fail\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOffers examples taken from the data science television show \"The Quant Shop\" (www.quant-shop.com)\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Steven S. Skiena\u003c\/b\u003e is Distinguished Teaching Professor of Computer Science at Stony Brook University, with research interests in data science, natural language processing, and algorithms. He was awarded the IEEE Computer Science and Engineering Undergraduate Teaching Award \"for outstanding contributions to undergraduate education ...and for influential textbooks and software.\" Dr. Skiena is the author of six books, including the popular Springer titles \u003ci\u003eThe Algorithm Design Manual\u003c\/i\u003e and \u003ci\u003eProgramming Challenges: The Programming Contest Training Manual\u003c\/i\u003e.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 445\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9.4 x 7.2 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 29, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48264047984889,"sku":"9783319554433","price":113.38,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/U3qjty6VtQ9783319554433.webp?v=1775718707","url":"https:\/\/bookscloud.io\/products\/the-data-science-design-manual-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}