{"title":"Yuan Tang","description":"","products":[{"product_id":"distributed-machine-learning-patterns-book-yuan-tang-9781617299025","title":"Distributed Machine Learning Patterns","description":"Practical patterns for scaling machine learning from your laptop to a distributed cluster.        In    Distributed Machine Learning Patterns you will learn how to:             Apply distributed systems patterns to build scalable and reliable machine learning projects Construct machine learning pipelines with data ingestion, distributed training, model serving, and more Automate machine learning tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows Make trade offs between different patterns and approaches Manage and monitor machine learning workloads at scale         Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners.    Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters.                      In    Distributed Machine Learning Patterns, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines          Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In it, you'll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines.      about the technology  Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. In this book, Kubeflow co-chair Yuan Tang shares patterns, techniques, and experience gained from years spent building and managing cutting-edge distributed machine learning infrastructure.    about the book    Distributed Machine Learning Patterns is filled with practical patterns for running machine learning systems on distributed Kubernetes clusters in the cloud. Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures, and dynamic model serving traffic. Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach. Once you've mastered these cutting edge techniques, you'll put them all into practice and finish up by building a comprehensive distributed machine learning system.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49743173878033,"sku":"NGR9781617299025","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51039594283281,"sku":"NIN9781617299025","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1617299022.jpg?v=1776160951"},{"product_id":"wavelet-analysis-and-its-applications-proceedings-of-the-third-international-con-book-yuan-tang-9789812383426","title":"Wavelet Analysis And Its Applications - Proceedings Of The Third International Conference On Waa (In 2 Volumes)","description":"This book captures the essence of the current state of research in wavelet analysis and its applications, and identifies the changes and opportunities - both current and future - in the field. Distinguished researchers such as Prof John Daugman from Cambridge University and Prof Victor Wickerhauser from Washington University present their research papers.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52455852441873,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52455852933393,"sku":"NLS9789812383426","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789812383426.jpg?v=1759375537"},{"product_id":"wavelet-analysis-and-its-applications-and-active-media-technology-proceedings-of-book-yuan-tang-9789812388742","title":"Wavelet Analysis And Its Applications, And Active Media Technology - Proceedings Of The International Computer Congress 2004 (In 2 Volumes)","description":"Wavelet analysis and its applications have been one of the fastest-growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, and air acoustics. Active media technology is concerned with the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating, and delegating in a dynamic environment.This book captures the essence of the state of the art in wavelet analysis and its applications and active media technology. At the Congress, invited talks were delivered by distinguished researchers, namely Prof John Daugman of Cambridge University, UK; Prof Bruno Torresani of INRIA, France; Prof Victor Wickerhauser of Washington University, USA, Prof Ning Zhong of the Maebashi Institute of Technology, Japan; Prof John Yen of Pennsylvania State University, USA; and Prof Sankar K Pal of the Indian Statistical Institute, India.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52663497490705,"sku":"NLS9789812388742","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9789812388742.jpg?v=1762272170"}],"url":"https:\/\/www.worldofbooks.com\/en-au\/collections\/author-books-by-yuan-tang.oembed","provider":"World of Books ","version":"1.0","type":"link"}