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Training Data for Machine Learning Models
Anthony SarkisHow much do you like this book?
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Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. This book will give data science professionals and machine learning engineers a solid understanding of the concepts, tools, and processes involved.
- Design, deploy, and ship training data for production-grade deep learning applications
- Integrate with a growing ecosystem of tools
- Recognize and correct new training data-based failure modes
- Improve existing system performance and avoid development risks
- Confidently use automation and acceleration approaches to more effectively create training data
- Avoid data loss by structuring metadata around created datasets
- Clearly explain training data concepts to subject matter experts and other shareholders
- Successfully maintain, operate, and improve your system
Categories:
Year:
2023
Edition:
1
Publisher:
O'Reilly Media, Inc.
Language:
english
Pages:
250
ISBN 10:
1492094455
ISBN 13:
9781492094456
File:
EPUB, 9.82 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2023
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