(Ebook) Machine Learning System Design (MEAP V03) by Valerii Babushkin, Arseny Kravchenko ISBN 9781633438750, 1633438759

(Ebook) Machine Learning System Design (MEAP V03) by Valerii Babushkin, Arseny Kravchenko ISBN 9781633438750, 1633438759

In Machine Learning System Design: With end-to-end examples you’ll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of the life cycle is covered, from information gathering to keeping your system well-serviced. Each stage includes its own handy checklist of requirements and is fully illustrated with real-world examples, including interesting anecdotes from the author’s own careers.You’ll follow two example companies each building a new ML system, exploring how their needs are expressed in design documents and learning best practices by writing your own. Along the way, you’ll learn how to ace ML system design interviews, even at highly competitive FAANG-like companies, and improve existing ML systems by identifying bottlenecks and optimizing system performance.  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