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Building Machine Learning Systems with a Feature Store:...

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems (Early Release)

Jim Dowling
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Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a shared data layer. With this practical book, data scientists and ML engineers will learn in detail how to develop, maintain, and operate modular ML systems. Author Jim Dowling introduces fundamental MLOps principles and practices for developing and operating reliable ML systems and describes the key data platform that you'll use to build and operate your ML systems: the feature store.
年:
2024
出版:
Early Edition
出版社:
O'Reilly Media, Inc.
语言:
english
ISBN 10:
1098165225
ISBN 13:
9781098165222
文件:
EPUB, 4.21 MB
IPFS:
CID , CID Blake2b
english, 2024
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