Informed Machine Learning
Overview & Synopsis
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.
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Document Information
| Document Title | Informed Machine Learning |
|---|---|
| Author / Organization | Daniel Schulz, Christian Bauckhage |
| Subject & Discipline | Machine Learning, Data Analysis and Data Mining, Deep Learning and Neural Networks, Artificial Intelligence |
| Categories | Machine Learning |
| Publication Year | 2025 |
| ISBN | 3031830962 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-9715 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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