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Read "Designing ML System" book together
24th May, 2023
Last date to join: 16th June, 2023
I am reading the book Designing Machine Learning Systems by Chip Huyen It's a nice and interesting book about how to launch ML System into production. I am looking for people to read this book together. Please let me know if you are interested in participating.
Novice
English
Description
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:
Designing Machine Learning Systems
Books 
O'Reilly Media
Exclusively Paid 
12h 25m 
No Certificate 
386 pages Get notified about new study groups every week!
Read "Designing ML System" book together
24th May, 2023
Last date to join: 16th June, 2023
Affiliate notice
I am reading the book Designing Machine Learning Systems by Chip Huyen It's a nice and interesting book about how to launch ML System into production. I am looking for people to read this book together. Please let me know if you are interested in participating.
Novice
English
-
TypeBooks
-
ProviderO'Reilly Media
-
PricingExclusively Paid
-
Duration12h 25m
-
CertificateNo Certificate
-
Pages386 pages
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
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16th June, 2023
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