Könyv Ensemble Methods for Machine Learning Gautam Kunapuli

Ensemble Methods for Machine Learning

Szerző: Gautam Kunapuli
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 3-5 napon belül
25 558 Ft
Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensem...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2023
oldal
350
EAN
9781617297137
ISBN
1617297135
Enbook ID
37104057
Súly
646
Méretek
187 x 235 x 22

Teljes leírás

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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