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Can I read Training Data for Machine Learning: Human Supervision from Annotation to Data Science on EtoBox?

Training Data for Machine Learning: Human Supervision from Annotation to Data Science by Anthony Sarkis; is a nonfiction available to read on EtoBox.

What is Training Data for Machine Learning: Human Supervision from Annotation to Data Science about?

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

Who reads Training Data for Machine Learning: Human Supervision from Annotation to Data Science?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Anthony Sarkis;
Publisher
O'Reilly Media, Incorporated
Published
2023
Language
EN
ISBN
9781492094524
Category
nonfiction
Subjects
Computer Science, Science, Artificial Intelligence (Ai)

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