Cameron Joannidis
Head of Data EngineeringFoxtel
Driving business outcomes with Data.
Talks I've Given
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Building a Centralised Machine Learning Pipeline with Spark and Kafka
Featuring Cameron Joannidis
Many organisations face the difficult challenge of enabling Machine Learning projects to get to market more quickly and to allow data science teams to share their features. In this talk, I will be discussing the machine learning pipeline developed at a large Australian telecommunications company...
software-development -
Building a Centralised Machine Learning Pipeline with Spark and Kafka
Featuring Cameron Joannidis
Many organisations face the difficult challenge of enabling Machine Learning projects to get to market more quickly and to allow data science teams to share their features. In this talk, I will be discussing the machine learning pipeline developed at a large Australian telecommunications company...
software-development -
Building a centralised Machine Learning Pipeline with Spark and Kafka
Featuring Cameron Joannidis
Many organisations face the difficult challenge of enabling Machine Learning projects to get to market more quickly and to allow data science teams to share their features. In this talk, I will be discussing the machine learning pipeline developed at a large Australian telecommunications company...
software-development -
An Intuitive Guide to Combining Free Monad and Free Applicative
Featuring Cameron Joannidis
The usage of Free Monads is becoming more well understood, however the lesser known Free Applicative is still somewhat of a mystery to the average functional programmer. In this talk I will explain how you can combine the power of both these constructs in an intuitive and visual manner. You will...
practice -
Machine Learning Systems for Engineers
Featuring Cameron Joannidis
Machine Learning is often discussed in the context of data science, but little attention is given to the complexities of engineering production ready ML systems. This talk will explore some of the important challenges and provide advice on solutions to these problems.
machine-learning