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Basketball Data Science: With Applications in R by Paola Zuccolotto (English) Pa

Description: Basketball Data Science by Paola Zuccolotto, Marica Manisera Estimated delivery 4-14 business days Format Paperback Condition Brand New Description This book will deal with statistical analysis of basketball data, with special attention to the most recent advances. The book will be of use to statisticians and machine learning experts who want to work in the basketball field. Readers will be able to create graphs and analyses thanks to some new R functions that will be illustrated in the book. Publisher Description Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA players shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers.Features:One of the first books to provide statistical and data mining methods for the growing field of analytics in basketballPresents tools for modelling graphs and figures to visualize the dataIncludes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test caseProvides the source code and data so readers can do their own analyses on NBA teams and players Author Biography Paola Zuccolotto and Marica Manisera are, respectively, Full and Associate Professor of Statistics at the University of Brescia. Paola Zuccolotto is the scientific director of the Big & Open Data Innovation Laboratory (BODaI-Lab), where she coordinates, together with Marica Manisera, the international project Big Data Analytics in Sports (BDsports).They carry out scientific research activity in the field of Statistical Science, both with a methodological and applied approach. They authored/co-authored several scientific articles in international journals and books, participated to many national and international conferences, also as organizers of specialized sessions, often on the topic of Sports Analytics. They regularly act as scientific reviewers for the worlds most prestigious journals in the field of Statistics. Paola Zuccolotto is a member of the Editorial Advisory Board of the Journal of Sports Sciences, while Marica Manisera is Associate Editor of the Journal of Sports Analytics; both of them are guest co-editors of special issues of international journals on Statistics in Sports. The International Statistical Institute (ISI) delegated them the task of revitalizing its Special Interest Group (SIG) on Sports Statistics. Marica Manisera is the Chair of the renewed ISI SIG on Sport.Both of them teach undergraduate and graduate courses in the field of Statistics and are responsible for the scientific area dedicated to Sport Analytics at the PhD "Analytics for Economics and Management" of the University of Brescia. They also teach courses and seminars on Sports Analytics in University Masters on Sports Engineering and specialized training projects devoted to people operating in the sports world. They supervise students internships, final reports and masters theses on the subject of Statistics, often with applications to sport data. They also work in collaboration with high-school teachers, creating experimental educational projects to bring students closer to quantitative subjects through Sport Analytics. Details ISBN 1138600792 ISBN-13 9781138600799 Title Basketball Data Science Author Paola Zuccolotto, Marica Manisera Format Paperback Year 2020 Pages 244 Publisher Taylor & Francis Ltd GE_Item_ID:126840470; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 77.78 USD

Location: Calgary, Alberta

End Time: 2024-11-17T03:49:26.000Z

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Basketball Data Science: With Applications in R by Paola Zuccolotto (English) Pa

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781138600799

Book Title: Basketball Data Science

Number of Pages: 219 Pages

Language: English

Publication Name: Basketball Data Science : with Applications in R

Publisher: CRC Press LLC

Subject: General, Databases / Data Mining, Statistics, Recreations & Games

Publication Year: 2020

Item Height: 0.6 in

Type: Textbook

Item Weight: 14.7 Oz

Item Length: 9.2 in

Subject Area: Mathematics, Computers, Sports & Recreation, Business & Economics

Author: Paola Zuccolotto, Marica Manisera

Item Width: 6.1 in

Series: Chapman and Hall/Crc Data Science Ser.

Format: Trade Paperback

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