Machine Learning
- Course: Machine Learning
- Course Modules
- Module: Introduction & Concept Learning
- Module: Decision Tree Learning
- Module Units
- Unit: Decision tree representation
- Unit: Appropriate problems for decision tree learning
- Unit: Basic decision tree learning algorithm
- Unit: hypothesis space search in decision tree learning
- Unit: Inductive bias in decision tree learning
- Unit: Inductive bias in decision tree learning
- Unit: Issues in decision tree learning
- Module Units
- Module: Artificial Neural Networks
- Module: Bayesian Learning
- Module Units
- Unit: Bayes theorem and concept learning
- Unit: Map, ML and LS error hypothesis
- Unit: Maximum Likelihood Hypothesis Learning to Predict Probabilities
- Unit: Minimum Description Length Principle
- Unit: Naive Bayes classifier and Bayes Rule
- Unit: Bayesian Network (BAYESIAN BELIEF NETWORKS)
- Unit: EM Algorithm
- Module Units
- Module: Evaluating Hypothesis
Course: Machine Learning