: Choosing and justifying model types (e.g., neural networks vs. classical algorithms).
and is a highly regarded resource for engineers preparing for ML-focused roles at top tech companies. It focuses on the architectural and strategic aspects of building scalable machine learning systems rather than just coding algorithms. Overview of the Content
: Outline data sources, availability, and labeling strategies.
The book is available in multiple formats, including paperback and various digital options: