Machine Learning

Machine Learning, Neural Network

Contents

1. Regression
2. SVM
3. Decision Tree
4. Ensemble
5. Clustering
6. GMM
7. PCA
8. SGD
9. CNN
10. RNN

Reference

• JoonSeok Lee, GSDS, Machine Learning for Visual Understanding
• Ian Goodfellow, Deep Learning
• Christopher Bishop, Probability Machine Learning: An Introduction
• Codeit, 머신 러닝

Table of contents

• 01 Regression
• 04 Decision Tree
• 05 Ensemble
• Algorithms