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001 978-3-031-63573-1
003 DE-He213
005 20250516160142.0
007 cr nn 008mamaa
008 240924s2024 sz | s |||| 0|eng d
020 _a9783031635731
_9978-3-031-63573-1
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
245 1 0 _aSports Analytics
_h[electronic resource] :
_bData-Driven Sports and Decision Intelligence /
_cedited by A Mansurali, P. Mary Jeyanthi, Dieu Hack-Polay, Ali B. Mahmoud.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 238 p. 35 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Visualizing in Sports Analytics -- IoT and Block Chain in Sports -- Sports Revenue Analytics -- Sports Marketing Analytics -- Forecasting in Sports -- Machine learning & AI in sports -- Classification and Regression techniques for sports -- Sports Analytics in different sports -- 'Sports analytics data'-Who uses it? -- Case Studies -- Conclusion.
520 _aIn "Sports Analytics: Data-Driven Sports and Decision Intelligence," embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness.It explores the cutting-edge techniques and methodologies that revolutionize the way we understand and analyze sports performance. From player evaluations to game strategies, injury prevention to fan engagement, this book equips you with the tools to gain a competitive edge in any sport. Whether you're a coach, player, analyst, or simply a passionate fan, this book will change the way you see the game. This book details how to use analytics and machine learning to highlight key performance indicators (KPIs) of sports for analysis. The authors show how to apply various statistical techniques, machine learning and data mining algorithms for on-field and off-field analysis. They go on to show how analytical algorithms are used in the sports ecosystem to derive solutions for the team and leadership, helping team managers and coaches to monitor games and player information through dashboards. The book then shows how to deploy machine learning algorithms for validating and improving teams and players performance. The book is relevant to professionals and academics working in machine learning and data analysis related to sports. Shows how to apply machine learning and data mining algorithms for on-field and off-field analysis; Details how to use machine learning to highlight key performance indicators of sports for performance analysis; Relevant to professionals and academics working in machine learning and data analysis related to sports.
541 _fUABC ;
_cPerpetuidad
650 0 _aTelecommunication.
650 0 _aMachine learning.
650 0 _aArtificial intelligence.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aMachine Learning.
650 2 4 _aArtificial Intelligence.
700 1 _aMansurali, A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJeyanthi, P. Mary.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHack-Polay, Dieu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMahmoud, Ali B.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031635724
776 0 8 _iPrinted edition:
_z9783031635748
776 0 8 _iPrinted edition:
_z9783031635755
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-63573-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c276508
_d276507