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Sarkis Anthony
Sarkis Anthony - Training Data For Machine Learning - Paperback
Sarkis Anthony - Training Data For Machine Learning - Paperback
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Binding: Paperback
Description: 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. Data science professionals and machine learning engineers will 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
Title: Training Data For Machine Learning
Author(s): Sarkis Anthony
Publisher: O'reilly Media
Barcode: 9781492094524
Pages: 329 Pages
Publication Date: 12/19/2023
Category: Machine Learning
Description: 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. Data science professionals and machine learning engineers will 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
Title: Training Data For Machine Learning
Author(s): Sarkis Anthony
Publisher: O'reilly Media
Barcode: 9781492094524
Pages: 329 Pages
Publication Date: 12/19/2023
Category: Machine Learning
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