Models in ML
- Generative Model : Gaussian
- Discriminative model : p(h|v) Linear regression이나 logistic 같은
- Undirected model
MOG
PPCA
PCA
Maximum Likelihood Estimation MLE
MLE vs Bayesian
Clustering
K-means
Hierarchical clustering
Mixture of Gaussians MOG
K-means |
Mixture of Gaussians |
non probabilistic |
pro |
less flexible |
|
more scalable |
|
EM , Expectation Maximization
PCA
NMF
linear Model
Regression
LSM , Least Squeares Method
Ridge Regression
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