{"product_id":"numsense-data-science-for-the-layman-no-math-added-paperback","title":"Numsense! Data Science for the Layman: No Math Added - Paperback","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\u003eKenneth Soo\u003c\/b\u003e (Author), \u003cb\u003eAnnalyn Ng\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReference text in top universities like Stanford and Cambridge\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eSold in over 85 countries, translated into more than 5 languages\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003eWant to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals. \u003cp\u003e\u003c\/p\u003ePopular concepts covered include: \u003cul\u003e\n\u003cli\u003eA\/B Testing\u003c\/li\u003e\n\u003cli\u003eAnomaly Detection\u003c\/li\u003e\n\u003cli\u003eAssociation Rules\u003c\/li\u003e\n\u003cli\u003eClustering\u003c\/li\u003e\n\u003cli\u003eDecision Trees and Random Forests\u003c\/li\u003e\n\u003cli\u003eRegression Analysis\u003c\/li\u003e\n\u003cli\u003eSocial Network Analysis\u003c\/li\u003e\n\u003cli\u003eNeural Networks\u003c\/li\u003e\n\u003c\/ul\u003eFeatures: \u003cul\u003e\n\u003cli\u003eIntuitive explanations and visuals\u003c\/li\u003e\n\u003cli\u003eReal-world applications to illustrate each algorithm\u003c\/li\u003e\n\u003cli\u003ePoint summaries at the end of each chapter\u003c\/li\u003e\n\u003cli\u003eReference sheets comparing the pros and cons of algorithms\u003c\/li\u003e\n\u003cli\u003eGlossary list of commonly-used terms\u003c\/li\u003e\n\u003c\/ul\u003eWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAnnalyn Ng graduated from the University of Michigan (Ann Arbor), where she also was an undergraduate statistics tutor. She then completed her MPhil degree with the University of Cambridge Psychometrics Centre, where she mined social media data for targeted advertising and programmed cognitive tests for job recruitment. Disney Research later roped her into their behavioral sciences team, where she examined psychological profiles of consumers.\u003c\/p\u003e \u003cp\u003eKenneth Soo is due to complete his MS degree in Statistics at Stanford University by mid-2017. He was the top student for all three years of his undergraduate class in Mathematics, Operational Research, Statistics and Economics (MORSE) at the University of Warwick, where he was also a research assistant with the Operational Research \u0026amp; Management Sciences Group, working on bi-objective robust optimization with applications in networks subject to random failures.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 146\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.38 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 24, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212975358201,"sku":"9789811110689","price":39.13,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/RnpkNnB5NXB6UWZxOTl2TnZJTlRPQT09.webp?v=1768099235","url":"https:\/\/bookscloud.io\/products\/numsense-data-science-for-the-layman-no-math-added-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}