Babushkin, Valerii

Machine learning system design: with end-to-end examples - Shelter Island Manning Publications 2025 - xx, 351 p.

From information gathering to release and maintenance, Machine Learning System Design guides you step-by-step through every stage of the machine learning process. Inside, you’ll find a reliable framework for building, maintaining, and improving machine learning systems at any scale or complexity.

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 with 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

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

9781633438750


Data science
Smart technology collection
Big data
Business analytics

006.31 / BAB