,Brief Contents
1 Introduction
2 Supervised Learning
3 Bayesian Decision Theory
4 Parametric Methods
5 Multivariate Methods
6 Dimensionality Reduction
7 Clustering
8 Nonparametric Methods
9 Decision Trees
10 Linear Discrimination
11 Multilayer Perceptrons
12 Deep Learning
13 Local Models
14 Kernel Machines
15 Graphical Models
16 Hidden Markov Models
17 Bayesian Estimation
18 Combining Multiple Learners
19 Reinforcement Learning
20 Design and Analysis of Machine Learning Experiments
,A Probability
B Linear Algebra
C Optimization
, Contents
Copyright
Preface
Notations
1 Introduction
1.1 What Is Machine Learning?
1.2 Examples of Machine Learning Applications
1.2.1 Association Rules
1.2.2 Classification
1.2.3 Regression
1.2.4 Unsupervised Learning
1.2.5 Reinforcement Learning
1.3 History
1.4 Related Topics
1.4.1 High-Performance Computing
1.4.2 Data Privacy and Security
1.4.3 Model Interpretability and Trust
1.4.4 Data Science
1.5 Exercises
1.6 References
2 Supervised Learning
2.1 Learning a Class from Examples
2.2 Vapnik-Chervonenkis Dimension
1 Introduction
2 Supervised Learning
3 Bayesian Decision Theory
4 Parametric Methods
5 Multivariate Methods
6 Dimensionality Reduction
7 Clustering
8 Nonparametric Methods
9 Decision Trees
10 Linear Discrimination
11 Multilayer Perceptrons
12 Deep Learning
13 Local Models
14 Kernel Machines
15 Graphical Models
16 Hidden Markov Models
17 Bayesian Estimation
18 Combining Multiple Learners
19 Reinforcement Learning
20 Design and Analysis of Machine Learning Experiments
,A Probability
B Linear Algebra
C Optimization
, Contents
Copyright
Preface
Notations
1 Introduction
1.1 What Is Machine Learning?
1.2 Examples of Machine Learning Applications
1.2.1 Association Rules
1.2.2 Classification
1.2.3 Regression
1.2.4 Unsupervised Learning
1.2.5 Reinforcement Learning
1.3 History
1.4 Related Topics
1.4.1 High-Performance Computing
1.4.2 Data Privacy and Security
1.4.3 Model Interpretability and Trust
1.4.4 Data Science
1.5 Exercises
1.6 References
2 Supervised Learning
2.1 Learning a Class from Examples
2.2 Vapnik-Chervonenkis Dimension
