01454nam a22002417a 4500 OSt 20260415190020.0 260415b |||||||| |||| 00| 0 eng d 9781638351030 CUL 23 006.31 M.R.H 2021 Monarch, Robert (Munro) Author Human-in-the-Loop Machine Learning : Active learning and annotation for human-centered AI / Robert (Munro) Monarch (Author) New York City : Manning ; 2021 . 423 P : ill ; 24cm . Includes bibliographical references and index. Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorithms. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation, active learning, transfer learning, and using machine learning to optimize every step of the process. Machine learning. Human-computer interaction. Active learning. Monarch, Christopher D . Foreword By ddc BK 0 144 144 0 0 ddc 0 0 MAIN MAIN CS 2026-04-15 0 006.31 M.R.H 2021 1383 2026-04-15 19:00:37 2026-04-15 BK