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Can I read MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations on EtoBox?
MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations by Luu H. is a nonfiction available to read on EtoBox.
What is MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations about?
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.
Who reads MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Luu H.
- Published
- 2024
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem