Applied Machine Learning
Book information
Description
TITLE CONTENTS 1 INTRODUCTION 2 SUPERVISED LEARNING: RATIONALE AND BASICS 3 STATISTICAL LEARNING 4 LEARNING WITH SUPPORT VECTOR MACHINES (SVM) 5 LEARNING WITH NEURALNETWORKS (NN) 6 FUZZY INFERENCE SYSTEMS 7 DATA CLUSTERING AND DATA TRANSFORMATIONS 8 DECISION TREE LEARNING 9 BUSINESS INTELLIGENCE AND DATA MINING: TECHNIQUES AND APPLICATIONS APPENDIX-A APPENDIX-B DATASETS PROBLEMS REFERENCES INDEX
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