HIGH_DENSITY_DATA
FILE_REF: ai-4 // VERIFIED_ENTRY
ENTRY_DATE2022_01_01
Designing Machine Learning Systems
01_ABSTRACT_SYNOPSIS
Chip Huyen provides a holistic approach to designing ML systems that are reliable, scalable, and maintainable. While technical, it is highly recommended for AI Product Managers to understand the infrastructure and processes required for successful model deployment. The book covers data engineering, model iteration, and the critical importance of monitoring and observability in production environments.
02_INDEX_NODES
- End-to-end machine learning system designP.042
- Understanding the "data-first" approach to MLP.084
- Building systems for continuous learning and adaptationP.126
- The role of PMs in monitoring ML performanceP.168
PUBLICATION_DATE2022
ISBN_RECORD978-1098107963
PAGES386_UNITS
LANGUAGEENGLISH
LEVELADVANCED
RECORDS_IDai-4
FILE_SIZE19.3_MB_RAW
STATUSAVAILABLE
03_ASSOCIATED_DISCIPLINES
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