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...

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Bibliographic Details
Main Authors:	Fernandes de Mello, Rodrigo (Author), Antonelli Ponti, Moacir (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2018.
Subjects:	Artificial intelligence. Computer science. Statistics. Artificial Intelligence. Probability and Statistics in Computer Science. Mathematical Applications in Computer Science. Applied Statistics. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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
.