Machine Learning in Team Sports: Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw (SpringerBriefs in Applied Sciences and Technology)

★★★★★ 4.8 83 reviews

US$18.96
Price when purchased online
Free shipping Free 30-day returns

Sold and shipped by catedralchascomus.org.ar
We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here.
US$18.96
Price when purchased online
Free shipping Free 30-day returns

How do you want your item?
You get 30 days free! Choose a plan at checkout.
Shipping
Arrives Jul 28
Free
Pickup
Check nearby
Delivery
Not available

Sold and shipped by catedralchascomus.org.ar
Free 30-day returns Details

Product details

Management number 231976790 Release Date 2026/06/18 List Price US$18.96 Model Number 231976790
Category

This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments. Read more

ISBN10 9811532184
ISBN13 978-9811532184
Edition 1st ed. 2020
Language English
Publisher Springer
Dimensions 6.1 x 0.17 x 9.25 inches
Item Weight 3.99 ounces
Print length 71 pages
Publication date February 18, 2020

Correction of product information

If you notice any omissions or errors in the product information on this page, please use the correction request form below.

Correction Request Form

Customer ratings & reviews

4.8 out of 5
★★★★★
83 ratings | 34 reviews
How item rating is calculated
View all reviews
5 stars
87% (72)
4 stars
2% (2)
3 stars
1% (1)
2 stars
0% (0)
1 star
10% (8)
Sort by

There are currently no written reviews for this product.