Gradient descent, Coordinate descent, Boosting, Grid Search, Mini Batch Gradient Descent, One-Vs-The-Rest, One-Vs-One, Expectation-maximization (EM), Locality Sensitive Hashing (LSH), Brute Force, KD Tree, Ball Tree, Principal Component Analysis (PCA), Singular Value Decomposition (SVD), Stochastic Gradient Descent (SGD), Alternating Least Squares (ALS), Uni/Multivariate Gaussian Distribution, Adam Optimizer, Relu, Sigmoid Languages SCALA, Python, R, JAVA
SCALA, Python, R, JAVA