• Title: Informed Machine Learning
• Author(s) Daniel Schulz, Christian Bauckhage
• Publisher: Springer (April 10, 2025); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: 352 pages
• eBook: PDF and ePub
• Language: English
• ISBN-10: 3031830962
• ISBN-13: 978-3031830969
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Book Description

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases.

• Daniel Schulz is one of the managing directors of the Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT.

• Amazon

• Machine Learning
• Data Analysis and Data Mining
• Deep Learning and Neural Networks
• Artificial Intelligence

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