SSA is proudly offering this 2 day course with Presenter Dr Oscar Perez-Concha, Centre for Big Data Research in Health, UNSW Sydney.
This workshop introduces the basics for understanding and using machine learning algorithms.
We will discuss the machine learning workflow, from clearly defining our research question to the rationale behind choosing different machine learning techniques for different scenarios, highlighting questions such as over-fitting/under-fitting, missing data, and interpretability. We will focus on the principles behind some of the most used supervised learning algorithms.
However, the detailed mathematics underlying these algorithms will not be discussed.Real healthcare scenarios using Python will be presented. Participants need not have prior exposure to Python.
Dr Oscar Perez-Concha is a health data scientist with over 15 years’ experience in machine learning and statistical modelling. Oscar currently works as a Lecturer at the Centre for Big Data Research in Health (CBDRH), UNSW Sydney. His research focuses on answering questions related to health and healthcare, using statistical and machine learning methods on large electronic health record datasets. This is to identify and explore outcomes for these patient groups, improve patient care and streamline clinical processes. Oscar is also passionate about teaching and supervising students. In 2018, he developed an introductory course to Machine Learning which he convenes and teaches as part of the UNSW Master of Science in Health Data Science, the first such program in the southern hemisphere.
Day 1 - Morning
-Registration
-Introduction to Artificial Intelligence and Machine Learning
-Basic principles of Machine Learning
Day 1 - Afternoon
-Machine Learning algorithms I: Lasso, Ridge, K-Nearest Neighbours
Day 2 - Morning
-Machine Learning algorithms II: Single Decision Trees, Random Forest, and Gradient Boosted Trees
Day 2 - Afternoon
-Machine Learning algorithms III: Introduction to Neural Networks and Deep Learning
-Discussion
Prerequisites:
Undergraduate-level statistics; Python knowledge would be beneficial but not essential.
You will be required to bring your laptop with a recent version of Anaconda installed. This software can be downloaded here.
On the day Coffee/tea will be offered on arrival, as well as Morning and Afternoon tea. Lunch is not provided.
Any questions contact events@statsoc.org.au.
Cancellation Policy:
Event Cancellation or Postponement:
SSA reserves exclusive right to modify, postpone/reschedule or cancel programs for any reason, including but not limited to emergency, inclement weather or other 'acts of God'. If there is an event cancellation, every attempt will be made to reschedule, and registration fees will be applied to the rescheduled event date. Any travel, lodging, or incidental expenses incurred related to a cancelled event cannot be refunded under any circumstances.
Cancellations received prior to Thursday, 5 May 2022 will be refunded, minus a $20 administration fee. From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation.
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