Collection of lecture/tutorial notes and other resources maintained for SYDE 522.
- Tutorial 1: Introduction
- Tutorial 2: Principal Component Analysis
- Tutorial 3: K-means and TSNE
- Tutorial 4: Self Organizing Map (SOM)
- Tutorial 5: Cross-validation, Bagging and Ensembling
- Tutorial 6: Tensorflow Introduction
- Tutorial 7: Autoencoders
- Tutorial 8: Convolution Neural Networks (CNNs)
- Tutorial 9: Genetic Algorithm