Mathematical Optimization for Machine Learning
Overview & Synopsis
Mathematical optimization and machine learning work together because training a machine learning model relies on optimization algorithms to minimize a cost or loss function, while optimization models can use machine learning predictions as direct inputs for decision-making.
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Document Information
| Document Title | Mathematical Optimization for Machine Learning |
|---|---|
| Author / Organization | Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser |
| Subject & Discipline | Operations Research (OR), Linear Programming, Optimization, Approximation, etc., Machine Learning, Algorithms and Data Structures, Computational and Algorithmic Mathematics |
| Categories | Operations Research (OR), Linear Programming, Optimization, Approximation, etc. |
| Publication Year | 2025 |
| ISBN | 3111375854 |
| 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-8813 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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