Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Training Data for Machine Learning: Human Supervision from Annotation to Data Science

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

Sarkis, Anthony

Paperback

ApplicationsGeneral Computers

Publisher Price: $65.99

ISBN10: 1492094528
ISBN13: 9781492094524
Publisher: Oreilly Media
Published: Dec 19 2023
Pages: 329
Weight: 1.17
Height: 0.69 Width: 7.00 Depth: 9.19
Language: English

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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