Appendices
A
Instructor notes
Machine Learning for Biodiversity Scientists
Preface
1
Introduction
2
Clustering
3
Gradient descent
4
Cross-validation
5
Supervised classification
6
Variable preparation
7
Hyper-parameters tuning
8
Explaining predictions
Appendices
A
Instructor notes
Appendices
A
Instructor notes
Appendix A — Instructor notes