Description: Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.
Price: 32.48 GBP
Location: Plymouth
End Time: 2024-10-10T14:38:45.000Z
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Subject Area: Engineering, Data Analysis, Data Storage, Coding, Programming, Applications, Nanotechnology, Computer Science, Scientific Computing, Information Science, Science, Artificial Intelligence
Book Title: Designing Machine Learning Systems
Publication Name: Designing Machine Learning Systems
Publisher: O’REILLY
Subject: Computer Science, Applications, Programming, IT, Engineering & Technology, Technology, Data
Publication Year: 2022
Type: Textbook
Format: Paperback
Language: English
Author: Chip Huyen
Educational Level: Adult & Further Education
Features: Illustrated
Level: Beginner, Intermediate, Advanced, Proficiency, Business, Technical
Country/Region of Manufacture: United Kingdom