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Filled with thorough, engaging illustrations and dozens of real-life examples, this book is your next step to understanding the implementation of AI within the sports world and beyond. Whether you are a data scientist, a coach, an athlete, or simply a personal fitness enthusiast excited about connecting your findings with AI methods, the author¿s practical expertise in both tech and sports is an undeniable asset for your learning process. Today¿s data scientists are the future of athletics, and Applied Machine Learning for Health and Fitness hands you the knowledge you need to stay relevant in this rapidly growing space.
What You'll LearnUse multiple data science tools and frameworks
Apply deep computer vision and other machine learning methods for classification, semantic segmentation, and action recognition
Build and train neural networks, reinforcement learning models andmore
Analyze multiple sporting activities with deep learning
Use datasets available today for model training
Use machine learning in the cloud to train and deploy modelsApply best practices in machine learning and data science
Who This Book Is For
Primarily aimed at data scientists, coaches, sports enthusiasts and athletes interested in connecting sports with technology and AI methods.
Filled with thorough, engaging illustrations and dozens of real-life examples, this book is your next step to understanding the implementation of AI within the sports world and beyond. Whether you are a data scientist, a coach, an athlete, or simply a personal fitness enthusiast excited about connecting your findings with AI methods, the author¿s practical expertise in both tech and sports is an undeniable asset for your learning process. Today¿s data scientists are the future of athletics, and Applied Machine Learning for Health and Fitness hands you the knowledge you need to stay relevant in this rapidly growing space.
What You'll LearnUse multiple data science tools and frameworks
Apply deep computer vision and other machine learning methods for classification, semantic segmentation, and action recognition
Build and train neural networks, reinforcement learning models andmore
Analyze multiple sporting activities with deep learning
Use datasets available today for model training
Use machine learning in the cloud to train and deploy modelsApply best practices in machine learning and data science
Who This Book Is For
Primarily aimed at data scientists, coaches, sports enthusiasts and athletes interested in connecting sports with technology and AI methods.
Demonstrates machine learning models with real-world use cases
Build your own IoT devices and sensors for athletes
Covers examples of data visualization through holograms and VR
Part I: Getting Started.- Chapter 1: Machine Learning in Sports 101.- Chapter 2: Physics of Sports.- Chapter 3: Data Scientist's Toolbox.- Chapter 4: 3D Neutral Networks.- Chapter 5: Sensors.- Part 2: Applied Machine Learning.- Chapter 6: Deep Computer Learning.- Chapter 7: 2D Body Pose Estimation.- Chapter 8: 3D Pose Estimation.- Chapter 9: Video Action Recognition.- Chapter 10: Reinforcement Learning in Sports.- Chapter 11: Machine Learning in the Cloud.- Chapter 12: Automating and Consuming Machine Learning.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Hardware |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xvi
259 S. 95 s/w Illustr. 75 farbige Illustr. 259 p. 170 illus. 75 illus. in color. |
ISBN-13: | 9781484257715 |
ISBN-10: | 1484257715 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Ashley, Kevin |
Auflage: | 1st edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 16 mm |
Von/Mit: | Kevin Ashley |
Erscheinungsdatum: | 25.08.2020 |
Gewicht: | 0,423 kg |
Demonstrates machine learning models with real-world use cases
Build your own IoT devices and sensors for athletes
Covers examples of data visualization through holograms and VR
Part I: Getting Started.- Chapter 1: Machine Learning in Sports 101.- Chapter 2: Physics of Sports.- Chapter 3: Data Scientist's Toolbox.- Chapter 4: 3D Neutral Networks.- Chapter 5: Sensors.- Part 2: Applied Machine Learning.- Chapter 6: Deep Computer Learning.- Chapter 7: 2D Body Pose Estimation.- Chapter 8: 3D Pose Estimation.- Chapter 9: Video Action Recognition.- Chapter 10: Reinforcement Learning in Sports.- Chapter 11: Machine Learning in the Cloud.- Chapter 12: Automating and Consuming Machine Learning.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Hardware |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xvi
259 S. 95 s/w Illustr. 75 farbige Illustr. 259 p. 170 illus. 75 illus. in color. |
ISBN-13: | 9781484257715 |
ISBN-10: | 1484257715 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Ashley, Kevin |
Auflage: | 1st edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 16 mm |
Von/Mit: | Kevin Ashley |
Erscheinungsdatum: | 25.08.2020 |
Gewicht: | 0,423 kg |