Metalearning: Applications to Automated Machine Learning and Data Mining
Overview & Synopsis
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and Automated Machine Learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience.
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Document Information
| Document Title | Metalearning: Applications to Automated Machine Learning and Data Mining |
|---|---|
| Author / Organization | Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren |
| Subject & Discipline | Machine Learning, Data Analysis and Data Mining, Deep Learning and Neural Networks, Artificial Intelligence |
| Categories | Machine Learning |
| Publication Year | 2022 |
| ISBN | 3030670236 |
| 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-261509 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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