Contents

• Brief Review of Machine Learning in 365
• Hypothesis Evaluation & Design of Experiments
• Neural Networks
• Bayesian Learning
• Genetic Algorithms
• Analytical Learning
• Combined Inductive & Analytical Approaches
• Inductive Logic Programing
• Reinforcement Learning