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Sprache: Englisch
Verlag: O'Reilly Media (edition 1), 2023
ISBN 10: 1098117220 ISBN 13: 9781098117221
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Sprache: Englisch
Verlag: Manning Publications Company, 2019
ISBN 10: 1617295329 ISBN 13: 9781617295324
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In den WarenkorbZustand: New. Über den AutorMax Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the co-founder of the Deep Learning platform aetros.com.Kevin Fergu.
Kartoniert / Broschiert. Zustand: New. Über den AutorMax Pumperla is a data science professor and software engineer located in Hamburg, Germany. He s an active open source contributor, maintainer of several Python packages, and author of machine learning books. He curren.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book's early chapters cover in detail. The book also discusses the infrastructure and best practices of Feature Engineering, Model Training, Model Serving, and Machine Learning Observability. Ray, the open source project that provides a unified framework and libraries to scale machine learning workload and the Python application, is introduced, and you will see how it fits into the MLOps technical stack.This book is intended for machine learning practitioners, such as machine learning engineers, and data scientists, who wish to help their company by adopting, building maps, and practicing MLOps. What You'll Learn Gain an understanding of the MLOps discipline Know the MLOps technical stack and its components Get familiar with the MLOps adoption strategy Understand feature engineering Who This Book Is ForMachine learning practitioners, data scientists, and software engineers who are focusing on building machine learning systems and infrastructure to bring ML models to production.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Learning Ray | Flexible Distributed Python for Machine Learning | Max Pumperla (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | O'Reilly Media | EAN 9781098117221 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.