Sinossi
Descrizione del prodotto
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Informazioni sull?autore
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 world’s 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 master’s 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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Risultati della ricerca per Basketball Data Science: With Applications in R
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Basketball Data Science (Chapman & Hall/CRC Data Science Series)
Editore:
Chapman and Hall/CRC (edition 1), 2020
ISBN 10: 1138600792
ISBN 13: 9781138600799
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Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 1138600792-8-1
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Basketball Data Science
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo GB-9781138600799
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Basketball Data Science : With Applications in R
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Condizione: New. Codice articolo 38610299-n
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Basketball Data Science (Paperback)
Editore:
Taylor & Francis Ltd, London, 2020
ISBN 10: 1138600792
ISBN 13: 9781138600799
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Paperback. Condizione: new. Paperback. 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 player's 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 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781138600799
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Basketball Data Science (Chapman & Hall/CRC Data Science Series)
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Condizione: New. Codice articolo ABLIING23Mar2317530319724
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Basketball Data Science : With Applications in R
Editore:
Chapman and Hall/CRC, 2020
ISBN 10: 1138600792
ISBN 13: 9781138600799
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Condizione: As New. Unread book in perfect condition. Codice articolo 38610299
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Basketball Data Science: With Applications in R (Chapman & Hall/CRC Data Science Series)
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Condizione: New. pp. 243. Codice articolo 26382067874
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Basketball Data Science : With Applications in R
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Condizione: New. Codice articolo 38610299-n
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Basketball Data Science: With Applications in R (Chapman & Hall/CRC Data Science Series)
Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. pp. 243. Codice articolo 380787581
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Basketball Data Science: With Applications in R
Editore:
Taylor & Francis Ltd, 2020
ISBN 10: 1138600792
ISBN 13: 9781138600799
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Paperback / softback
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 185. Codice articolo B9781138600799
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