Ensemble Machine Learning
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Language: en
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Pages: 350
Type: BOOK - Published: 2023-05-30 - Publisher: Simon and Schuster
Ensemble machine learning combines the power of multiple machine learning approaches, working together to deliver models that are highly performant and highly a
Language: en
Pages: 238
Pages: 238
Type: BOOK - Published: 2012-06-06 - Publisher: CRC Press
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurat
Language: en
Pages: 332
Pages: 332
Type: BOOK - Published: 2012-02-17 - Publisher: Springer Science & Business Media
It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed �
Language: en
Pages: 450
Pages: 450
Type: BOOK - Published: 2021-04-26 - Publisher: Machine Learning Mastery
Predictive performance is the most important concern on many classification and regression problems. Ensemble learning algorithms combine the predictions from m
Language: en
Pages: 327
Pages: 327
Type: BOOK - Published: 2019-01-31 - Publisher: Packt Publishing Ltd
Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key FeaturesApply popular machine learning algori