Active learning and annotation for human-centered AI Monarch, Robert (Munro) creator Author Monarch, Christopher D . Foreword By text New York City Manning 2021 monographic eng

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423 P : ill ; 24cm . 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. Robert (Munro) Monarch (Author) Includes bibliographical references and index. Machine learning Human-computer interaction Active learning 006.31 M.R.H 2021 9781638351030 260415 20260415190020.0