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Machine Learning: The Basics
Alexander Jung
(Author)
·
Springer
· Paperback
Machine Learning: The Basics - Jung, Alexander
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Origin: U.S.A.
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Synopsis "Machine Learning: The Basics"
Introduction.- Components of ML.- The Landscape of ML.- Empirical Risk Minimization.- Gradient-Based Learning.- Model Validation and Selection.- Regularization.- Clustering.- Feature Learning.- Transparant and Explainable ML.
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The book is written in English.
The binding of this edition is Paperback.
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