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...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2018, 2018
|
| Edition: | 1st ed. 2018 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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