Courses_

# Modern Statistical Learning

Machine learning from a statistical perspective
This two-day workshop aims to provide an introduction to machine learning language and methods to applied statisticians and health researchers involved in statistical analysis.

# Course overview

Recent years have brought a rapid growth in the amount and complexity of data in biostatistical applications. Among others, data collected in imaging, genomic, health registries, call for new statistical techniques in both predictive and descriptive learning. Machine learning algorithms for classification and prediction, complement classical statistical tools in the analysis of these data.

This workshop will provide a gentle introduction and overview of many of these new methods such as, classification trees, random forests, model selection, lasso, bootstrapping, cross-validation, gam, splines, and many others. The presentation will focus on concepts rather than on the mathematical details and there will be opportunity to practice the use of these methods in R.

You'll work through seven topics including:

• Basics of R
• What is Statistical Learning?
• Regression and Classification
• Resampling methods
• Regularization and model selection
• Beyond linearity

Lunch and morning tea will be offered.

Key information
Course fees
• $200 (incl. GST) for students •$450 (incl. GST) for non-students
Course structure
• 2 day face-to-face workshop
Course dates
• Day 1: 28th November 2019 (8am-4:30 pm)
• Day 2: 29th November 2019 (9am-4:30 pm)