This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:
- Supervised Learning
- Parametric, Non-Parametric Algorithms
- Support Vector Machines
- Kernels
- Neural Networks
- Unsupervised Learning
- Clustering
- Dimensionality Reduction
- Recommender Systems
- Deep Learning