| 文件 | 时间 | 大小 | 操作 | |
|---|---|---|---|---|
|
000更多精品课程介绍.jpg | 2022-09-03 11:38:26 | 442.65 KB | |
|
|
21.10KNN(K最近邻)算法（二）.mp4 | 2022-09-03 11:38:26 | 39.83 MB | |
|
|
21.11KNN(K最近邻)算法（三）.mp4 | 2022-09-03 11:38:26 | 19.84 MB | |
|
|
21.12线性分类器.mp4 | 2022-09-03 11:38:26 | 28.38 MB | |
|
|
21.13高斯判别模型（一）.mp4 | 2022-09-03 11:38:26 | 23.77 MB | |
|
|
21.14高斯判别模型（二）.mp4 | 2022-09-03 11:38:26 | 34.18 MB | |
|
|
21.1经验误差和泛化误差.mp4 | 2022-09-03 11:38:26 | 43.26 MB | |
|
|
21.2最大后验估计.mp4 | 2022-09-03 11:38:26 | 42.58 MB | |
|
|
21.3正则化.mp4 | 2022-09-03 11:38:26 | 18.82 MB | |
|
|
21.4lasso回归.mp4 | 2022-09-03 11:38:26 | 45.8 MB | |
|
|
21.5超参数（一）.mp4 | 2022-09-03 11:38:26 | 34.29 MB | |
|
|
21.6超参数（二）.mp4 | 2022-09-03 11:38:26 | 26.77 MB | |
|
|
21.7监督学习框架（一）.mp4 | 2022-09-03 11:38:26 | 32.13 MB | |
|
|
21.8监督学习框架（二）.mp4 | 2022-09-03 11:38:26 | 42.39 MB | |
|
|
21.9KNN(K最近邻)算法（一）.mp4 | 2022-09-03 11:38:26 | 36.21 MB |