Table of Contents

• Parameter Estimation
  • Maximum Likelihood Estimation (MLE)
  • Maximum a Posteriori Estimation (MAP)
• Optimization
  • Gradient Descent
  • Stochastic Gradient Descent
• Basic Probability Theory
• Statistics
• Dimensionality Reduction Techniques
• Linear Algebra
• Regression
• Classification
• Clustering
• Deep Learning
• Result Verification/Evaluation techniques