摘要:
1. Principal component analysis algorithmdata preprocessing2. choosing the number of principal components3. reconstruction from compressed representation4. Application of PCA - compression - reduce memory/dist needed to store data - speed up learning algorithm - visualizationbad use of PCA: to pre.. 阅读全文
摘要:
1. K-means algorithm2. K-means optimization objective3. Random initialization 阅读全文
摘要:
1. SVM hypothsis2. large margin classification3. kernals and similarityiff1 = 1;if x if far from l^(1), f1 = 04. SVM with kernels5. SVM parameters6. Multi-class classification7. Logistic regression vs SVMs 阅读全文