Machine Learning A Practical Approach on the Statistical Learning Theory /

• Κύριοι συγγραφείς: F MELLO, RODRIGO (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Antonelli Ponti, Moacir (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Artificial intelligence.; Mathematical statistics.; Computer science-Mathematics.; Computer mathematics.; Statistics .; Artificial Intelligence.; Probability and Statistics in Computer Science.; Mathematical Applications in Computer Science.; Applied Statistics.

This book presents the Statistical Learning Theory in a detailed and easy to understand way, by using practical examples, algorithms and source codes. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main theoretical concep...

Πίνακας περιεχομένων:

• Chapter 1 - A Brief Review on Machine Learning
• Chapter 2 - Statistical Learning Theory
• Chapter 3 - Assessing Learning Algorithms
• Chapter 4 - Introduction to Support Vector Machines
• Chapter 5 - In Search for the Optimization Algorithm
• Chapter 6 - A Brief Introduction on Kernels
• .