Ensemble methods that train multiple learners and then combine them to use, with \textit{Boosting} and \textit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.
mars 2025, env. 348 pages, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Anglais
Taylor and Francis
978-1-032-96060-9
Taylor and Francis
978-1-032-96060-9
Ensemble methods that train multiple learners and then combine them to use, with \textit{Boosting} and \textit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.
mars 2025, env. 348 pages, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Anglais
Taylor and Francis
978-1-032-96060-9
Taylor and Francis
978-1-032-96060-9
Autres titres de la collection: Chapman & Hall/CRC Machine Learning & Pattern Recognition
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Mathematical and Statistical Methods, Second Edition
Taylor and Francis, 2025
978-1-032-48868-4
env. 130.00 CHF
livrable dans env. 10-20 jours
Introduction to Machine Learning with Applications in Information Security
Taylor and Francis, 2024
978-1-032-20717-9
env. 80.00 CHF
livrable dans env. 10-20 jours
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Taylor and Francis, 2024
978-1-03-219328-1
env. 80.00 CHF
livrable dans env. 10-20 jours
Introduction to Machine Learning with Applications in Information Security
Taylor and Francis, 2022
978-1-03-220492-5
env. 120.00 CHF
livrable dans env. 10-20 jours
Sparse Modeling
Theory, Algorithms, and Applications
Taylor and Francis, 2020
978-0-367-65892-2
env. 80.00 CHF
livrable dans env. 10-20 jours
Statistical Reinforcement Learning
Modern Machine Learning Approaches
Taylor and Francis, 2020
978-0-367-57586-1
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livrable dans env. 10-20 jours
A First Course in Machine Learning
Taylor and Francis, 2020
978-0-367-57464-2
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A First Course in Machine Learning
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978-1-4987-3848-4
env. 120.00 CHF
livrable dans env. 10-20 jours
Statistical Reinforcement Learning
Modern Machine Learning Approaches
Taylor and Francis, 2015
978-1-4398-5689-5
env. 150.00 CHF
livrable dans env. 10-20 jours
Sparse Modeling
Theory, Algorithms, and Applications
Taylor and Francis, 2014
978-1-4398-2869-4
env. 130.00 CHF
livrable dans env. 10-20 jours
Machine Learning
An Algorithmic Perspective, Second Edition
Taylor and Francis, 2014
978-1-4665-8328-3
145.00 CHF
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Handbook of Natural Language Processing
Taylor and Francis, 2010
978-1-4200-8592-1
env. 250.00 CHF
livrable dans env. 10-20 jours
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