000			01091nam a2200157 4500
020			_a9781617296741
082			_a006.3 _bMON/H
100			_aMonarch, Robert
245			_aHuman-in-the-Loop Machine Learning _bactive learning and annotation for human - centered AI
260			_aNew York _bManning pub. _c2021
300			_a398 p.
520			_aMost 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.
650			_aArtifitial intelligence
650			_amachin learning
942			_cBK
999			_c76304 _d76304