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Machine Learning in Team Sports

This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for;

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Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, Mlsa 2018, Co-Located with Ecml/Pkdd 2018, Dublin, Ireland, Septemb

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for;

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Applied Machine Learning for Health and Fitness

Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other;

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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for;

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Machine Learning and Knowledge Discovery in Databases

Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019. The 70 full papers and 46 short papers;

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Machine Learning and Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceeding

Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019. The 70 full papers and 46 short papers;

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Amazon SageMaker Developer Guide

Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily;

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Agile Machine Learning

Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile;

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Layered Learning in Multiagent Systems

reinforcement learning algorithm-team-partitioned, opaque-transition reinforcement learning (TPOT-RL)-designed for domains in which agents cannot;

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Team Sports Marketing

apply only to sports marketing and are only of interest to those involved in sports. In Team Sports Marketing, author Kirk Wakefield dispels;

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Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics

Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems In Machine Learning;

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Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019)

learning, robotics, and sensor integration. Further, it describes applications of computer science in sports, such as alpine skiing, badminton;

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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen;

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Sports Travel Security

Sports Team Security examines the security needs for sports teams and events of all sizes. This groundbreaking book provides a;

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The Economic Theory of Professional Team Sports

provided a thoughtful, accessible exegesis of the extant literature on the economic theory of team sports leagues. There is no book like this;

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Ensemble Classification Methods with Applications in R

An essential guide to two burgeoning topics in machine learning - classification trees and ensemble learning Ensemble Classification;

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Beginning Machine Learning in iOS

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning;

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Machine Learning for Oracle Database Professionals

Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's;

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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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Challenges and Trends in Multimodal Fall Detection for Healthcare

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and;

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Machine Learning with SAP

Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;

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Advances in Machine Learning Applications in Software Engineering

Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge;

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Practical Machine Learning with Rust

"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Practical Machine Learning with Rust

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering;

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Social Network Analysis Applied to Team Sports Analysis

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches;

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