Speaker
Description
Cloud computing has moved quickly from simply providing easy access to hardware to supplying easy to use services that eliminate the need for any sys admin knowledge. ML and data science has been one of the key drivers of this, with all the major cloud providers (i.e. AWS, GCP and Azure) offering a suite of tools to allow the construction of everything from data pipelines to ML model fitting to APIs to categorise data in real time and everything in between. In this session I will go over what is available in the cloud for data scientists and talk through some typical cloud tech stacks you will encounter in the world of big data. Finally I will talk about the pros and cons of different cloud technologies and how they apply to different real world applications.
