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Can I read Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines on EtoBox?
Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines by Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu, Catherine Nelson is a nonfiction available to read on EtoBox.
What is Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines about?
Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting—especially for recent ML graduates and those moving from research to a commercial environment. Whether you currently work to create products and services that use ML, or would like to in the future, this practical book gives you a broad view of the entire field. Authors Robert Crowe, Hannes Hapke, Emily Caveness, and Di Zhu help you identify topics that you can dive into deeper, along with reference materials and tutorials that teach you the details. You'll learn the state of the art of machine learning engineering, including a wide range of topics such as modeling, deployment, and MLOps. You'll learn the basics and advanced aspects to understand the production ML lifecycle. This book provides four in-depth sections that cover all aspects of machine learning engineering: • Data: collecting, labeling, validating, automation, and data preprocessing; data feature engineering and selection; data journey and storage • Modeling: high performance modeling; model resource management techniques; model analysis and interoperability; neural archite
Who reads Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu, Catherine Nelson
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2024
- Language
- EN
- ISBN
- 9781098156015
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem
Other editions & translations
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