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Ensemble Methods for Machine Learning
Language
English
English
Book
Paperback
Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensem...
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Libristo code: 37104057
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Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results.
Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you''ll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models.
About the Technology
Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.
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About the book
Full name
Ensemble Methods for Machine Learning
Author
Gautam Kunapuli
Language
English
English
Binding
Book - Paperback
Date of issue
2023
Number of pages
350
EAN
9781617297137
ISBN
1617297135
Libristo code
37104057
Publishers
Manning Publications
Weight
646
Dimensions
187 x 235 x 22
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