東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Sports analytics = data-driven sport...

Mansurali, A.

FindBook

Google Book

Amazon

博客來

Sports analytics = data-driven sports and decision intelligence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sports analytics/ edited by A Mansurali ... [et al.].
其他題名:	data-driven sports and decision intelligence /
其他作者:	Mansurali, A.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	x, 238 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- 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.
Contained By:	Springer Nature eBook
標題:	Sports - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-63573-1
ISBN:	9783031635731

Sports analytics = data-driven sports and decision intelligence /
Sports analyticsdata-driven sports and decision intelligence /[electronic resource] :edited by A Mansurali ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 238 p. :ill. (some col.), digital ;24 cm.

Introduction -- 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.

In "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.

ISBN: 9783031635731

Standard No.: 10.1007/978-3-031-63573-1doiSubjects--Topical Terms:

2184811
Sports
--Data processing.

LC Class. No.: GV568

Dewey Class. No.: 796.0727

Sports analytics = data-driven sports and decision intelligence /
LDR:03178nmm a2200325 a 4500 001 2375117
003 DE-He213
005 20240924130306.0
006 m d
007 cr nn 008maaau
008 241231s2024 sz s 0 eng d
020 $a 9783031635731 $q (electronic bk.)
020 $a 9783031635724 $q (paper)
024 7 $a 10.1007/978-3-031-63573-1 $2 doi
035 $a 978-3-031-63573-1
040 $a GP $c GP
041 0 $a eng
050 4 $a GV568
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 796.0727 $2 23
090 $a GV568 $b .S764 2024
245 0 0 $a Sports analytics $h [electronic resource] : $b data-driven sports and decision intelligence / $c edited by A Mansurali ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a x, 238 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- 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 $a In "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.
650 0 $a Sports $x Data processing. $3 2184811
650 0 $a Sports $x Statistical methods. $3 548920
650 1 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Mansurali, A. $3 3724361
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-63573-1
950 $a Engineering (SpringerNature-11647)