【第一周】机器学习之无监督学习

本周课程导学 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3b21bd53bddef9421284d41e637920d5b0 folder

学期课程导学 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3b6d2dfbb1eb894abb9bd401927504d61f folder

单元3：基于聚类的整图分割实例 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3bc39863e6a0ad4a69abfc3559d8ea67e8 folder

单元2：降维 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3bf94ebb6bb6934acb8819cab9e78921aa folder

单元1：聚类 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3be435a19b2f4...

本周课程导学 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3b21bd53bddef9421284d41e637920d5b0 folder学期课程导学 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3b6d2dfbb1eb894abb9bd401927504d61f folder单元3：基于聚类的整图分割实例 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3bc39863e6a0ad4a69abfc3559d8ea67e8 folder单元2：降维 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3bf94ebb6bb6934acb8819cab9e78921aa folder单元1：聚类 https://www.aliyundrive.com/s/AsYw19HFLyk/folder/61443b3be435a19b2f4...

章节3：PCA降维算法 https://www.aliyundrive.com/s/CQtQSsPHcii/folder/641e9c2814f5f16e22ed4e27a43b6d580a38d40b folder

章节2：EM算法和GMM高斯混合模型 https://www.aliyundrive.com/s/CQtQSsPHcii/folder/641e9c27b869fcd2a2164b09b39b60f3d94c8a5d folder

章节1：聚类系列算法 https://www.aliyundrive.com/s/CQtQSsPHcii/folder/641e9c286d886a8a7d4c4befa20131cbd1577e2c folder

章节3：PCA降维算法 https://www.aliyundrive.com/s/CQtQSsPHcii/folder/641e9c2814f5f16e22ed4e27a43b6d580a38d40b folder章节2：EM算法和GMM高斯混合模型 https://www.aliyundrive.com/s/CQtQSsPHcii/folder/641e9c27b869fcd2a2164b09b39b60f3d94c8a5d folder章节1：聚类系列算法 https://www.aliyundrive.com/s/CQtQSsPHcii/folder/641e9c286d886a8a7d4c4befa20131cbd1577e2c folder

06 其他参数与总结.mp4 102.20 MB mp4

05 模型评估指标轮廓系数.mp4 184.03 MB mp4

04 sklearn实现.mp4 129.61 MB mp4

03 python实现.mp4 164.15 MB mp4

02 簇内平方和的定义.mp4 126.16 MB mp4

01 基础原理.mp4 123.11 MB mp4

06 其他参数与总结.mp4 102.20 MB mp4

05 模型评估指标轮廓系数.mp4 184.03 MB mp4

04 sklearn实现.mp4 129.61 MB mp4

03 python实现.mp4 164.15 MB mp4

02 簇内平方和的定义.mp4 126.16 MB mp4

01 基础原理.mp4 123.11 MB mp4

更多免费资源扫此码关注公众号.jpg 25.81 KB jpg

21.9KNN(K最近邻)算法（一）.mp4 36.21 MB mp4

21.8监督学习框架（二）.mp4 42.39 MB mp4

21.7监督学习框架（一）.mp4 32.13 MB mp4

21.6超参数（二）.mp4 26.77 MB mp4

21.5超参数（一）.mp4 34.29 MB mp4

21.4lasso回归.mp4 45.80 MB mp4

21.3正则化.mp4 18.82 MB mp4

21.2最大后验估计.mp4 42.58 MB mp4

21.1经验误差和泛化误差.mp4 43.26 MB mp4

21.14高斯判别模型（二）.mp4 34.18 MB mp4

21.13高斯判别模型（一）.mp4 23.77 MB mp4

21.12线性分类器.mp4 28.38 MB mp4

21.11KNN(K最近邻)算法（三）.mp4 19.84 MB mp4

21.10KNN(K最近邻)算法（二）.mp4 39.83 MB mp4

21.9KNN(K最近邻)算法（一）.mp4 36.21 MB mp4

21.8监督学习框架（二）.mp4 42.39 MB mp4

21.7监督学习框架（一）.mp4 32.13 MB mp4

21.6超参数（二）.mp4 26.77 MB mp4

21.5超参数（一）.mp4 34.29 MB mp4

21.4lasso回归.mp4 45.80 MB mp4

21.3正则化.mp4 18.82 MB mp4

21.2最大后验估计.mp4 42.58 MB mp4

21.1经验误差和泛化误差.mp4 43.26 MB mp4

21.14高斯判别模型（二）.mp4 34.18 MB mp4

21.13高斯判别模型（一）.mp4 23.77 MB mp4

21.12线性分类器.mp4 28.38 MB mp4

21.11KNN(K最近邻)算法（三）.mp4 19.84 MB mp4

21.10KNN(K最近邻)算法（二）.mp4 39.83 MB mp4

更多免费资源扫此码关注公众号.jpg 25.81 KB jpg

21.9KNN(K最近邻)算法（一）.mp4 36.21 MB mp4

21.8监督学习框架（二）.mp4 42.39 MB mp4

21.7监督学习框架（一）.mp4 32.13 MB mp4

21.6超参数（二）.mp4 26.77 MB mp4

21.5超参数（一）.mp4 34.29 MB mp4

21.4lasso回归.mp4 45.80 MB mp4

21.3正则化.mp4 18.82 MB mp4

21.2最大后验估计.mp4 42.58 MB mp4

21.1经验误差和泛化误差.mp4 43.26 MB mp4

21.14高斯判别模型（二）.mp4 34.18 MB mp4

21.13高斯判别模型（一）.mp4 23.77 MB mp4

21.12线性分类器.mp4 28.38 MB mp4

21.11KNN(K最近邻)算法（三）.mp4 19.84 MB mp4

21.10KNN(K最近邻)算法（二）.mp4 39.83 MB mp4