Machine Learning Design Patterns

Valliappa Lakshmanan, Sara Robinson, Michael Munn

Key facts and insights from "Machine Learning Design Patterns"

  1. Machine Learning (ML) Design Patterns: The book provides a comprehensive guide to design patterns specifically tailored for machine learning systems.
  2. ML Lifecycle: An in-depth examination of the complete machine learning lifecycle, from data collection to model deployment.
  3. Proven Solutions: It highlights proven solutions to common problems in machine learning, ensuring the reader doesn't need to reinvent the wheel.
  4. Extensibility: The book emphasizes the importance of creating ML systems that are not just functional, but also extensible and maintainable in the long run.
  5. Practicality: There is a heavy focus on practical...

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Harry Ritchie
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Harry Ritchie DE

Data Scientist and Improviser, Freelance (ex-AstraZeneca)