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132343792
Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems
89% of respondents would recommend this to a friend
товар №:
132343792
TJS 693
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Learn how to develop and operate batch, real-time, and agentic ML systems with a practical guide to building a unified feature store.
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Информация о продукте
| Publisher | O'Reilly Media |
| Publication date | December 16, 2025 |
| Edition | 1st |
| Language | English |
| Print length | 506 pages |
| ISBN-10 | 1098165233 |
| ISBN-13 | 978-1098165239 |
| Item Weight | 1.88 pounds (850 grams) |
| Dimensions | 7 x 2 x 9.19 inches (17.8 x 5.1 x 23.3 cm) |
ОПИСАНИЕ ТОВАРА
Building Machine Learning Systems with a Feature Store: Batch, Real-Time, and LLM Systems
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вопрос:
Who is this book intended for?
отвечать: It is intended for data scientists and ML engineers looking to enhance their understanding of ML systems. -
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What key concepts will I learn?
отвечать: You will learn how to develop batch, real-time, and agentic ML systems, as well as MLOps principles. -
вопрос:
Does it include practical examples?
отвечать: Yes, the book provides example ML systems to illustrate key concepts and practices.
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Особенности и преимущества
- Master the new unified approach to building ML systems.
- Gain practical knowledge for data scientists and ML engineers.
- Develop and operate scalable batch ML systems.
- Implement real-time ML systems with cutting-edge techniques.
- Leverage agentic ML systems using LLMs and retrieval-augmented generation.
- Understand MLOps principles to enhance ML operations.
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