Ensemble Methods for Machine Learning
Book Details
Format
Paperback / Softback
ISBN-10
1617297135
ISBN-13
9781617297137
Publisher
Manning Publications
Imprint
Manning Publications
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 9th, 2023
Print length
350 Pages
Weight
646 grams
Dimensions
18.90 x 23.40 x 2.80 cms
Product Classification:
Computer programming / software development Machine learning
Ksh 8,450.00
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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.
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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