The following topics will be covered

• Linear Regression and Logistic Regression
• Neural networks and deep learning
• Decisions trees and nearest neighbor algorithms
• Support vector machines
• Bayesian Neural Networks
• Boltzmann Machines
• Dimensionality reduction, from PCA to cluster models