Applied Machine Learning
2nd Edition
9354601596
·
9789354601590
© 2022 | Published: August 25, 2021
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1. Introduction
2. Supervised Learning: Rationale and Basics
3. Statistical Learning
4. Learning with Support Vector Machines (SVMs)
5. Learning with Neural Networks (NNs)
6. Decision Tree Learning and Tree-Based Ensembles
7. Data Clustering
8. Data Transformations
9. Understanding Machine Learning by Application
Appendix A: The Basic Genetic Algorithm (GA) for Search Optimization
Appendix B: Basic Linear Algebra in Machine Learning Techniques
Problems
References
Index
2. Supervised Learning: Rationale and Basics
3. Statistical Learning
4. Learning with Support Vector Machines (SVMs)
5. Learning with Neural Networks (NNs)
6. Decision Tree Learning and Tree-Based Ensembles
7. Data Clustering
8. Data Transformations
9. Understanding Machine Learning by Application
Appendix A: The Basic Genetic Algorithm (GA) for Search Optimization
Appendix B: Basic Linear Algebra in Machine Learning Techniques
Problems
References
Index
