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sarkis training data machine learning human supervision 2023

Type:: E-books
Files:: 1
Size:: 16.3 MB
Uploaded On:: Nov. 12, 2023, 12:35 p.m.
Added By:: andryold1
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Info Hash:: B0D7787D160AD8B42976FE1C741CBFDFAF8D2662

Textbook in PDF format Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process. In this hands-on guide, author Anthony Sarkis—lead engineer for the Diffgram AI training data software—shows technical professionals, managers, and subject matter experts how to work with and scale training data, while illuminating the human side of supervising machines. Engineering leaders, data engineers, and data science professionals alike will gain a solid understanding of the concepts, tools, and processes they need to succeed with training data. With this book, you'll learn how to: - 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

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Sarkis A. Training Data for Machine Learning. Human Supervision...2023.pdf 16.3 MB

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sarkis training data machine learning human supervision 2023