[ DevCourseWeb.com ] Training Data for Machine Learning (Seventh Early release)



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English | 2022 | ISBN: 9781492094517 | 274 pages | True EPUB, MOBI | 12.07 MB



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. You'll gain a solid understanding of the concepts, tools, and processes needed 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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