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Can I read Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems (Early Release) on EtoBox?

Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems (Early Release) by Jim Dowling is a nonfiction available to read on EtoBox.

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

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.

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

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Jim Dowling
Publisher
O'Reilly Media, Incorporated
Published
2024
Language
EN
ISBN
9781098165222
Category
nonfiction
Subjects
Computer Science, Artificial Intelligence (Ai), Stem

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