April 2015
Intermediate to advanced
1062 pages
40h 35m
English
1.1 What Machine Learning is About
1.2 Structure and a Road Map of the Book
Chapter 2: Probability and Stochastic Processes
2.2 Probability and Random Variables
Chapter 3: Learning in Parametric Modeling: Basic Concepts and Directions
3.2 Parameter Estimation: The Deterministic Point of View
3.5 Biased Versus Unbiased Estimation