Applied Machine Learning for Health and Fitness
July 20th, 2020
Data science is the future of athletics. The recent popularity of smart wearables tied to health is just one example of artificial intelligence’s integration into the training and fitness worlds, and it becomes more crucial to the flow of these processes every day. Upcoming Apress release Applied Machine Learning for Health and Fitness is one of the first of its kind.
Author Kevin Ashley uses dozens of real-world examples and case studies of how machine learning is being used in health analysis, fitness training, and more. Ashley’s expertise is ideal for sharing this knowledge base, as he is both a machine learning professional and a ski instructor, full of experience regarding both exercise and the technology that can improve it. Applied Machine Learning for Health and Fitness is packed with fun, practical applications for sports illustrated by the author himself for maximum clarity and catering to several types of learning. Popular tools like PyTorch, Tensorflow, Keras, OpenAI Gym and OpenCV are explored, as this book acts as a comprehensive guide for data scientists, machine learning practitioners, or anyone interested in AI applications. Athletes and trainers alike have much to gain from the author’s insights and fun, applicable examples that won’t be found anywhere else.
Applied Machine Learning for Health and Fitness is available for pre-order now from Apress!