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portada Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Type
Physical Book
Author
Publisher
Year
2022
Language
English
Pages
386
Format
Paperback
Dimensions
23.3 x 17.8 x 2.0 cm
Weight
0.62 kg.
ISBN13
9781098107963
Edition No.
1
Categories

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Chip Huyen (Author) · O'Reilly Media · Paperback

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications - Chip Huyen

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Synopsis "Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications "

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
Chip Huyen
  (Author)
View Author's Page
Chip Huyen es una escritora, ingeniera y emprendedora vietnamita-estadounidense reconocida por su trabajo en inteligencia artificial, aprendizaje automático y sistemas en tiempo real. Nacida en Vietnam, se trasladó a Estados Unidos para continuar sus estudios y ha construido una carrera destacada que combina la tecnología con la comunicación clara y accesible de ideas complejas.

Es graduada de la Universidad de Stanford, donde se especializó en informática. Durante su tiempo allí, trabajó en proyectos de aprendizaje profundo y aprendizaje automático, y también fue profesora asistente para cursos de inteligencia artificial aplicada. Ha trabajado en empresas de alto perfil como NVIDIA, Snorkel AI y Netflix, donde se enfocó en el desarrollo de sistemas de ML escalables y en tiempo real.

Además de su carrera técnica, Chip Huyen es autora del libro Designing Machine Learning Systems, una guía práctica para ingenieros y científicos de datos que buscan implementar sistemas de ML en producción. También ha escrito libros y artículos en vietnamita, y es conocida por su habilidad para enseñar conceptos técnicos de manera clara.

En años recientes, cofundó una startup enfocada en infraestructura para aprendizaje automático en tiempo real. Su trabajo representa la intersección entre investigación, ingeniería aplicada y comunicación técnica.
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Kenyi Canchihuaman Ango Thursday, July 27, 2023
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