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Following are the issues in machine learning :

Classification

Clustering

Regression

Anomaly detection

Semi-supervised learning

Unsupervised learning

Following are the frame of supervised learning:

Decision trees( Random forest, Bagger tree)

K-nearest neaighbourhood(k-NN)

Naïve Bayes

Neural network

Support vector machine

Following are clustering techniques used in machine learning frequently:

k-means

Brich

Hierarchical

Expectation –maximization (EM)

Mean-shifts

Following are the dimensionality reduction

CCA(canonical correlation analysis)

ICA(Independent Component Analysis)

LDA(linear discriminant analysis)

PCA(Principal component analysis)

And many more…