Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems

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

Dowling, Jim

Paperback

General Computers

Publisher Price: $79.99

ISBN10: 1098165233
ISBN13: 9781098165239
Publisher: O'Reilly Media
Published: Dec 16 2025
Pages: 506
Weight: 1.76
Height: 1.02 Width: 7.00 Depth: 9.19
Language: English

Get up to speed on a new unified approach to building machine learning (ML) systems with a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop and operate batch, real-time, and agentic ML systems.

Author Jim Dowling introduces fundamental principles and practices for developing, testing, and operating ML and AI systems at scale. You'll see how any AI system can be decomposed into independent feature, training, and inference pipelines connected by a shared data layer. Through example ML systems, you'll tackle the hardest part of ML systems--the data, learning how to transform data into features and embeddings, and how to design a data model for AI.

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