Machine Learning System Design by Valerii Babushkin and Arseny Kravchenko

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.

In "Machine Learning System Design: With end-to-end examples" you will learn:
- The big picture of machine learning system design
- Analyzing a problem space to identify the optimal ML solution
- Ace ML system design interviews
- Selecting appropriate metrics and evaluation criteria
- Prioritizing tasks at different stages of ML system design
- Solving dataset-related problems through data gathering, error analysis, and feature engineering
- Recognizing common pitfalls in ML system development
- Designing ML systems to be lean, maintainable, and extensible over time

Link: https://www.manning.com/books/machine-learning-system-design

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