國立臺灣科技大學・115 學年度第 1 學期
人工智慧
機器學習
課程大綱
1. Basic Mathematics and Terminology for Machine Learning 2. Linear Regression 3. Perceptron and Logistic Regression 4. Bayes 5. k-Nearest Neighbors 6. Decision Trees 7. Boosting 8. Support Vector Machine 9. Multilayer Perception 10. Shapley values and Importance