16 November 2022 - 10am-2pm
21 Bedford St, North Melbourne, VIC 3051
Workshops
Machine learning in life sciences
what is it, when should it be used and how to avoid common pitfalls
Workshop Description:
This workshop will provide a high-level introduction to machine learning: what it is, its advantages and disadvantages compared to traditional modelling approaches and the types of scenarios where it may be the right tool for the job. We’ll contrast a few commonly used algorithms for constructing predictive models and explore some of their trade-offs. We will discuss common pitfalls in how machine learning is applied and evaluated, with a focus on its application in the life-sciences, to help participants recognize overly optimistic results. We will discuss how and why such errors arise and strategies to avoid them. We will make use of simulated and publicly available genomics and demographics data. However, the contents of the workshop will be directly applicable across a wide range of application areas.Learning objectives:
At the end of the workshop, you will be able to:- Understand some of the core concepts of machine learning
- Describe the different stages required to implement a machine learning solution
- Implement a basic machine learning pipeline in Python using scikit-learn
- Critically evaluate the use of machine learning in the life sciences literature