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Machine Learning
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Machine Learning

An Algorithmic Perspective, Second Edition
Livre (relié)145.00 CHF
disponible de suite

This bestseller helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. Along with improved Python code, this second edition includes two new chapters on deep belief networks and Gaussian processes. It incorporates new material on the support vector machine, random forests, the perceptron convergence theorem, filters, and more. All of the code is available on the author's website.

octobre 2014, 458 pages, Chapman & Hall/CRC Machine Learning & Pattern Recognition, Anglais
Taylor and Francis
978-1-4665-8328-3

Autres titres de la collection: Chapman & Hall/CRC Machine Learning & Pattern Recognition

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Data Science and Machine Learning
Mathematical and Statistical Methods, Second Edition
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Ensemble Methods
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Artificial Intelligence and Causal Inference
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Introduction to Machine Learning with Applications in Information Security
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Sparse Modeling
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978-0-367-65892-2
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Statistical Reinforcement Learning
Modern Machine Learning Approaches
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978-0-367-57586-1
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A First Course in Machine Learning
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A First Course in Machine Learning
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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
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Taylor and Francis, 2014
978-1-4398-2869-4
env. 130.00 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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