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Statistical Society of Australia warmly invites you to a workshop on machine learning with Python, presented by a data scientist from Eliiza (to be announced).
This is a hands-on course for making predictive models using machine learning.
We will use Python libraries such as pandas and scikit-learn to analyse a dataset and make a predictive model. We will then discuss ideas such as the bias-variance tradeoff for improving machine learning models and apply it to the models built earlier. Throughout the workshop you will program a sequence of Jupyter notebooks and gain experience in working with data in Python. The workshop will conclude with a discussion of how to deploy machine learning models into real world systems.
At the end of this module you will be able to:
9 am–12:30 pm
Presenter: a data scientist from Eliiza (to be announced)
This workshop will teach you how to use the TensorFlow 2.0 framework to construct neural networks and apply them to tasks such as image recognition.
Neural networks are a family of machine learning models that can take data in a wide variety of formats and learn non-linear patterns in data by training millions of parameters simultaneously. Neural networks, also known as “Deep Learning”, have become more popular since they were used to win the 2012 ImageNet Challenge.
The workshop will cover:
09:00 – 10:30 (1.5 hours)
10.30 – 11:00
Break / networking over virtual morning tea
11:00 – 12:30 (1.5 hours)
End of first day
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please note that the Society will not be held responsible for any financial loss incurred due to a workshop cancellation.
Financial support for SSA Vic members can be sought. For further information, please see: https://sites.google.com/view/ssavicworkshopfinsup.
Please contact the organisers: Rheanna Mainzer (email@example.com), Anna Quaglieri (firstname.lastname@example.org), and Patrick Robotham (email@example.com) for further details.
Statistical Society of Australia (SSA)
PO Box 213
Belconnen ACT 2616 Australia
02 6251 3647www.statsoc.org.auABN 82 853 491 081
Please direct enquiries to:
Marie-Louise Rankin, Executive Officer
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