Ensemble Methods for Machine Learning

Name: Ensemble Methods for Machine Learning
Brand: Manning Publications
SKU: 9781617297137
Price: 51.97 EUR
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Автор: Gautam Kunapuli

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Корици: С меки корици

Издател: Manning Publications

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Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensem...

Информация за книгата

Автор

Gautam Kunapuli

Език

Английски език

Корици

Книга - С меки корици

Издадена

2023

страници

350

EAN

9781617297137

ISBN

1617297135

Enbook ID

37104057

Издател

Manning Publications

Теглоt

646

Размери

187 x 235 x 22

Пълно описание

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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Информация за книгата

Пълно описание

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