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(Ebook) Training Data for Machine Learning: Human Supervision from Annotation to Data Science by Sarkis, Anthony ISBN 9781492094524, 1492094528, B0CLKZVPR9

  • SKU: EBN-53823482
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Authors:Sarkis, Anthony
Pages:329 pages.
Year:2023
Editon:1
Publisher:O'Reilly Media
Language:english
File Size:21.33 MB
Format:pdf
ISBNS:9781492094524, 1492094528, B0CLKZVPR9
Categories: Ebooks

Product desciption

(Ebook) Training Data for Machine Learning: Human Supervision from Annotation to Data Science by Sarkis, Anthony ISBN 9781492094524, 1492094528, B0CLKZVPR9

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:    Work effectively with training data including schemas, raw data, and annotations    Transform your work, team, or organization to be more AI/ML data-centric    Clearly explain training data concepts to other staff, team members, and stakeholders    Design, deploy, and ship training data for production-grade AI applications    Recognize and correct new training-data-based failure modes such as data bias    Confidently use automation to more effectively create training data    Successfully maintain, operate, and improve training data systems of record
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