A 3-Day short course on Machine Learning, Statisics and Big Data given at the Australian Buerau of Statistics, October 2017 by Kerrie Mengersen, Chris McCool, Hugh Jackson, Jacinta Holloway, Miles McBain.
- Day 1
- Overview
- Data Preparation
- Digging Deeper: Classification and Regression
- Extended Topics: Classification and Regression
- Day 2
- Digging Deeper: Clustering and Dimension Reduction
- Digging Deeper: Neural Networks
- Extended Topics: Neural Networks
- Extended Topics: Deep Learning Systems
- Day 3
- Case Study: Recommender Systems
- Extended Topics: Semi-supervised learning and ensembles.
- Day 1
- Preparing Data for Machine Learning
- Tree-Based Methods for Big (and small) Data
- Day 2
- Unsupervised Learning Techniques
- Fully Connected Neural Networks
- Convolutional Neural Networks
- Day 3
- Recommender Systems