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Human-in-the-Loop Machine Learning : Active learning and annotation for human-centered AI / Robert (Munro) Monarch (Author)

By: Contributor(s): Material type: TextPublication details: New York City : Manning ; 2021 .Description: 423 P : ill ; 24cmISBN:
  • 9781638351030
Subject(s): DDC classification:
  • 23 006.31 M.R.H 2021
Contents:
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.
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Books Capital Universities Foundation Library (CUFL) School of Computer Sciences (ENU) 006.31 M.R.H 2021 (Browse shelf(Opens below)) Available 1383

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.

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