You're reading from Python Machine Learning - Third Edition

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Published inDec 2019

Reading LevelExpert

PublisherPackt

ISBN-139781789955750

Edition3rd Edition

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Python

Tools

TensorFlow Keras

Concepts

Machine Learning

Authors (2):

Sebastian Raschka

Vahid Mirjalili

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Leveraging weak learners via adaptive boosting

In this last section about ensemble methods, we will discuss boosting, with a special focus on its most common implementation: Adaptive Boosting (AdaBoost).

AdaBoost recognition

The original idea behind AdaBoost was formulated by Robert E. Schapire in 1990. The Strength of Weak Learnability, R. E. Schapire, Machine Learning, 5(2): 197-227, 1990. After Robert Schapire and Yoav Freund presented the AdaBoost algorithm in the Proceedings of the Thirteenth International Conference (ICML 1996), AdaBoost became one of the most widely used ensemble methods in the years that followed (Experiments with a New Boosting Algorithm by Y. Freund, R. E. Schapire, and others, ICML, volume 96, 148-156, 1996). In 2003, Freund and Schapire received the Goedel Prize for their groundbreaking work, which is a prestigious prize for the most outstanding publications in the field of computer science.

In boosting, the ensemble consists...

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Python Machine Learning - Third Edition

Published in: Dec 2019Publisher: PacktISBN-13: 9781789955750

Authors (2)

Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.
Read more about Sebastian Raschka

Vahid Mirjalili

Vahid Mirjalili is a deep learning researcher focusing on CV applications. Vahid received a Ph.D. degree in both Mechanical Engineering and Computer Science from Michigan State University.
Read more about Vahid Mirjalili

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You're reading from Python Machine Learning - Third Edition

Leveraging weak learners via adaptive boosting

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