Percepton, Decision Trees, Support Vector Machine, Naive Bayes, Logistic Regression, Bagged Forests, k-Nearest Neighbors
K-Means, K-Means++, Hierarchical, Lloyds Algorithm, Gonzalez
Min Hashing, Locality Sensitive Hashing, n-grams, Jaccard Similarity
Batch and Stochastic Gradient Descent
Singular Value Decomposition: Singular values/vectors, Eigen values/vectors, etc
Linear Regression, Polynomial Regression, Overfitting, Cross Validation
Misra-Greis, Count-Min Sketch