In this program
- Ensemble learning: boosting
- Bagging
- Kernel methods and SVMs
- Neural networks from a statistical view
- Unsupervised learning: clustering
- Embeddings
- Feature selection and sparsity
Modern methods
Neural networks from a statistical view
Machine learning for statistics · Standard syllabus
Topic
Neural networks from a statistical view
Graduate Machine learning for statistics — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).