Machine learning. An applied mathematics introduction 9781916081604, 1916081606
593 76 3MB
English Pages XIII, 226 str. : ilustr.; 24 cm [242] Year 2019
Table of contents :
Contents......Page 8
Prologue......Page 12
Chapter 1 - Introduction......Page 16
Chapter 2 - General Matters......Page 32
Chapter 3 - K Nearest Neighbours......Page 70
Chapter 4 - K Means Clustering......Page 80
Chapter 5 - Naive Bayes Classifier......Page 98
Chapter 6 - Regression Methods......Page 106
Chapter 7 - Support Vector Machines......Page 114
Chapter 8 - Self-Organizing Maps......Page 128
Chapter 9 - Decision Tree......Page 142
Chapter 10 - Neural Networks......Page 162
Chapter 11 - Reinforcement Learning......Page 188
Datasets......Page 232
Epilogue......Page 236
Index......Page 238
Contents......Page 8
Prologue......Page 12
Chapter 1 - Introduction......Page 16
Chapter 2 - General Matters......Page 32
Chapter 3 - K Nearest Neighbours......Page 70
Chapter 4 - K Means Clustering......Page 80
Chapter 5 - Naive Bayes Classifier......Page 98
Chapter 6 - Regression Methods......Page 106
Chapter 7 - Support Vector Machines......Page 114
Chapter 8 - Self-Organizing Maps......Page 128
Chapter 9 - Decision Tree......Page 142
Chapter 10 - Neural Networks......Page 162
Chapter 11 - Reinforcement Learning......Page 188
Datasets......Page 232
Epilogue......Page 236
Index......Page 238
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