Ensemble Methods for Machine Learning

Name: Ensemble Methods for Machine Learning
Brand: Manning Publications
SKU: 9781617297137
Price: 1568 CZK
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Autor: Gautam Kunapuli

Jazyk:

Vazba: Brožovaná

Vydavatel: Manning Publications

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

Gautam Kunapuli

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2023

Stránek

350

EAN

9781617297137

ISBN

1617297135

Enbook ID

37104057

Vydavatel

Manning Publications

Hmotnost

646

Rozměry

187 x 235 x 22

Kompletní popis

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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Ensemble Methods for Machine Learning

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