Machine Learning System Design: With End-to-End Examples - Tapa blanda

Babushkin, Valerii; Kravchenko, Arseny

 
9781633438750: Machine Learning System Design: With End-to-End Examples
Tapa blanda
ISBN 10: 1633438759 ISBN 13: 9781633438750
Editorial: Manning Publications, 2025

Sinopsis

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


Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Arseny Kravchenko is a seasoned ML engineer with a proven track record of building and optimizing reliable ML systems for startups, including real-time video processing, manufacturing optimization, and financial transactions analysis.

Valerii Babushkin is an accomplished data science leader with extensive experience in the tech industry. He currently serves as the VP of Data Science at Blockchain.com, where he is responsible for leading the company's data-driven initiatives. Prior to joining Blockchain.com, Valerii held key roles at leading tech companies, such as Facebook, Alibaba, and X5 Retail Group.

De la contraportada

From the back cover:

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.

About the reader:

For readers who know the basics of both software engineering and machine learning. Examples in Python.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Manning Publications
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1633438759
ISBN 13 
9781633438750
Encuadernación
Tapa blanda
Número de páginas
376
Contacto del fabricante
no disponible
Persona responsable
no disponible