기계학습 강의계획서.pdf

이론

1_introduction.pdf

2_K-NN classifier.pdf

3_deision tree.pdf

4_ensemble.pdf

5_support vector machine.pdf

6_k-means clustering.pdf

7_dimension reduction.pdf

7_텍스트데이터다루기.pdf

8_regression.pdf

9_nn.pdf

10_deepnn.pdf

11_cnn.pdf

12_rnn.pdf

실습

기계학습_02분반_실습자료_01.pdf

기계학습_02분반_실습자료_02.pdf