## 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 Neural Networks (Feature Extraction, Pooling)… Continue reading "11 Data Mining Algorithms"