Human-in-the-loop machine learning

• Titel: Human-in-the-loop machine learning
• Titelzusatz: active learning and annotation for human-centered AI
• Mitwirkende: Monarch, Robert (Munro) [VerfasserIn]
• Institutionen: Manning Publications, [Verlag]
• Verf.angabe: Robert (Munro) Monarch
• Ausgabe: [First edition].
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2021
• Jahr: [2021]
• Umfang: 1 online resource (1 video file (13 hr., 43 min.))
• Illustrationen: sound, color.
• Fussnoten: "In video editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.". - Online resource; title from title details screen (O’Reilly, viewed October 28, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Apprentissage automatique
• Sach-SW: Intelligence artificielle
• Sach-SW: artificial intelligence
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1910534986
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4629578609
• Lokale URL Inst.: Zum Volltext

Abstract

Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You’ll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.