Human-in-the-Loop Machine Learning (MEAP V08)
Robert (Munro) Monarch
MEAP Version 08
chapters 1 to 10
Active learning, annotation and human-computer interaction
Human-in-the-Loop Machine Learning is a guide to optimizing the human and machine parts of your machine learning systems, to ensure that your data and models are correct, relevant, and cost-effective. 20-year machine learning veteran Robert (Munro) Monarch lays out strategies to get machines and humans working together efficiently, including building reliable user interfaces for data annotation, Active Learning strategies to sample for human feedback, and Transfer Learning. By the time you’re done, you’ll be able to design machine learning systems that automatically select the right data for humans to review and ensure that those annotations are accurate and useful.
chapters 1 to 10
Active learning, annotation and human-computer interaction
Human-in-the-Loop Machine Learning is a guide to optimizing the human and machine parts of your machine learning systems, to ensure that your data and models are correct, relevant, and cost-effective. 20-year machine learning veteran Robert (Munro) Monarch lays out strategies to get machines and humans working together efficiently, including building reliable user interfaces for data annotation, Active Learning strategies to sample for human feedback, and Transfer Learning. By the time you’re done, you’ll be able to design machine learning systems that automatically select the right data for humans to review and ensure that those annotations are accurate and useful.
年:
2020
出版:
MEAP
出版社:
Manning Publications
语言:
english
页:
371
ISBN 10:
1617296740
ISBN 13:
9781617296741
文件:
PDF, 24.21 MB
IPFS:
,
english, 2020