The software engineering life cycle is well established in the industry, from requirements, to design, build, deploy and maintain. Now its time to apply this to our machine learning projects. Azure Machine Learning is a platform for developing and deploying your machine learning models on Azure.

Use your favourite frameworks, libraries and tools to build and deploy your machine learning experiments with the help of the cloud.

In this session we will look at the life cycle of your projects: from data, to model and model to consumption via a container. As well as exploring how Automated Machine Learning can support your data science projects with optimisations, pace and explain-ability.

All code samples will be shared so you can run them yourself after the session.

Presented by Amy Boyd at SQLBits 2019
MP4 Video Low 377 MB
MP4 Video Med 682 MB
MP4 Video High 1,054 MB
MP4 Video HD 2,014 MB