Joaquin Vanschoren's Books

Metalearning

Applications to Automated Machine Learning and Data Mining

By: Pavel Brazdil

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Metalearning

Applications to Automated Machine Learning and Data Mining

By: Pavel Brazdil

This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and 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. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence.

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Page Count

349

Publisher

Springer Nature

Published Date

ISBN 10

3030670244

ISBN 13

9783030670245

Automated Machine Learning

By: Joaquin Vanschoren,Lars Kotthoff,Frank Hutter

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Automated Machine Learning

By: Joaquin Vanschoren,Lars Kotthoff,Frank Hutter

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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Page Count

222

Published Date

ISBN 10

1013271661

ISBN 13

9781013271663

Metalearning

Applications to Automated Machine Learning and Data Mining

By: Pavel Brazdil

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Metalearning

Applications to Automated Machine Learning and Data Mining

By: Pavel Brazdil

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

349

Publisher

Springer Nature

Published Date

ISBN 10

3030670244

ISBN 13

9783030670245

Book's by Joaquin Vanschoren

Metalearning

Metalearning

Automated Machine Learning

Automated Machine Learning

Metalearning

Metalearning

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