README.md

ML_Stats_and_Big_data_ABS

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.

Lectures

• 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.

Practicals

• 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