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Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI - Softcover
- PublisherManning
- Publication date2021
- ISBN 10 1617296740
- ISBN 13 9781617296741
- BindingPaperback
- LanguageEnglish
- Number of pages424
- Rating
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Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI
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Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI
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Human-In-The-Loop Machine Learning Active Learning and Annotation for Human-Centered AI
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Paperback. Condition: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear. Inside pages are clean. ; 7.375 X 1 X 9.25 inches; 424 pages. Seller Inventory # 08SA23-325-108f
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Human-in-the-Loop Machine Learning Format: Paperback
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Human-in-the-Loop Machine Learning : Active Learning and Annotation for Human-Centered AI
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Human-in-the-Loop Machine Learning (Paperback)
Published by
Manning Publications, New York, 2021
ISBN 10: 1617296740
ISBN 13: 9781617296741
New
Paperback
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Paperback. Condition: new. Paperback. 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. Key Features Active Learning to sample the right data for humans to annotate Annotation strategies to provide the optimal interface for human feedback Supervised machine learning design and query strategies to support Human-in-the-Loop systems Advanced Adaptive Learning approaches Real-world use cases from well-known data scientists For software developers and data scientists with some basic Machine Learning experience. About the technology Human-in-the-Loop machine learning refers to the need for human interaction with machine learning systems to improve human performance, machine performance, or both. Ongoing human involvement with the right interfaces expedites the efficient labeling of tricky or novel data that a machine cant process, reducing the potential for data-related errors. Robert Munro has built Annotation, Active Learning, and machine learning systems with machine learning-focused startups and with larger companies including Amazon, Google, IBM, and most major phone manufacturers. If you speak to your phone, if your car parks itself, if your music is tailored to your taste, or if your news articles are recommended for you, then there is a good chance that Robert contributed to this experience. Robert holds a PhD from Stanford focused on Human-in-the-Loop machine learning for healthcare and disaster response, and is a disaster response professional in addition to being a machine learning professional. A worked example throughout this text is classifying disaster-related messages from real disasters that Robert has helped respond to in the past. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781617296741
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Human-in-the-Loop Machine Learning
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # IB-9781617296741
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