## 11 Data Mining Algorithms

1. Regression & Classification Linear Multivariate Linear Logistic Softmax Vectorization Gradient Calculation Stochastic Gradient Descent (SGD) Optimizers and Objectives 2. Regularization Ridge regression 3. Clustering k – Means EM Algorithms 4. Unsupervised Learning Autoencoders PCA Whitening sparse coding 5. Neural Network Perceptrons Backpropagation Restricted Boltzmann Machines Learning Vector Quantization 6. Deep Learning Stacked Autoencoders Convolution […]