Machine Learning A Practical Approach on the Statistical Learning Theory /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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:
Διαθέσιμο Online:Full Text via HEAL-Link
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
  • .