Description
In this course you will learn:
- Machine Learning is the ROX
- Decision Trees
- Regression and Classification
- Neural Networks
- Instance-Based Learning
- Ensemble B&B
- Kernel Methods and Support Vector Machines (SVM)s
- Computational Learning Theory
- VC Dimensions
- Bayesian Learning
- Bayesian Inference