• Title: Metalearning: Applications to Automated Machine Learning and Data Mining
• Author(s) Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren
• Publisher: Springer; 2nd ed. (February 24, 2022); eBook (Open Access, Creative Commons Licensed)
• License(s): CC BY 4.0
• Hardcover: 358 pages
• eBook: PDF
• Language: English
• ISBN-10: 3030670236
• ISBN-13: 978-3030670238
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Book Description

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

• Metalearning: Applications to Automated Machine Learning and Data Mining (Pavel Brazdil, et al.)
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