Panda Ghana Publishing, 2019. — 246 p.
Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics - K Nearest Neighbours; K Means Clustering; Naïve Bayes Classifier; Regression Methods; Support Vector Machines; Self-Organizing Maps; Decision Trees; Neural Networks; Reinforcement Learning
General Matters
K Nearest Neighbours
K Means Clustering
Naive Bayes Classifier
Regression Methods
Support Vector Machines
Self-Organizing Maps
Decision Tree
Neural Networks
Reinforcement Learning
Datasets
Epilogue