Slides
Please find below the different lecture slides. Included are links to a pdf, as well as text material.
- Day 1- Logistics and Background - May 29, 2017
- Day 2 - Mathematical Background - May 30, 2017
- Day 3 - Supervised learning - Distance based methods - May 31, 2017
- Day 4 - Supervised Learning - Linear Regression - June 1, 2017
- Day 5 - Supervised Learning - Logistic Regression - June 2, 2017
- Day 6 - Unsupervised Learning - June 5, 2017
- Day 7 - PCA, Kernels, Ensembles - June 6, 2017
- Day 8 - SVM, Ensembles, Neural Networks - June 7, 2017
- Day 9 - Feature Extraction - June 8, 2017
- Day 10 - Practical ML and wrap up - June 9, 2017