Azure Machine Learning: How to keep your models fresh and shiny!

Sep 13, 2018 · Brisbane City, Australia

The Presentation:

Machine learning is cool once you have a good model but this is not the end of the story. A model that is good today will not be good enough in a few weeks from now. Several factors will change and eventually you will need to retrain your model. Azure machine learning provides the needed tools to train a diverse set of models to solve most of the classic machine learning problems. It also facilitates monitoring and retraining models that are in production to continuously fine-tune them with fresh data or better algorithm parameters.

In this session which will be demos packed, we will go through a simple workflow of training a model and deploying it for production use. Then we will configure it for retraining using different datasets or different algorithm hyper-parameters. We will see also how to use web service parameters to dynamically control experiments or web services.

Our Presenter:

Yousry Mohamed is a senior developer working for Readify where his day to day tech stack covers everything from SharePoint to line of business applications running on both mobile and web. He is very passionate about all things data including Big Data, Machine Learning and Business Intelligence and likes to share this passion with his peers, clients and the wider community.

Our Sponsor this month:

AARNet Pty Ltd (APL) is the not for profit company that operates Australia's Academic and Research Network (AARNet). The shareholders are 38 Australian universities and the CSIRO.

AARNet provides high capacity Internet and other communications services for the nation's research and education community, including universities, health and other research organisations, schools, vocational training providers and cultural institutions. AARNet serves over one million end users who access the network for teaching, learning and research.

For further information, please visit: (

The event is at the Thoughtworks offices, level 19, 127 Creek Street, with official kick-off at 6:00 pm.

Event details will be updated as speakers and further details are finalised.

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