How to Accelerate the End-to-End Machine Learning Lifecycle on Azure
JOIN ONLINE AT **https://aka.ms/ReactorMLLifecycle **
This Azure ML session is for all who want to know how to:
– create code-free ML models (using AutoML as well as the drag & drop pipeline creation method)
– create ML models using Python (created either in Azure Notebooks or locally)
– directly use pre-built ML models under Azure Cognitive APIs
We will also cover the end-to-end ML life cycle; how to train ML models, how ML models can be versioned and deployed for inference, and we can use them as part of other DevOps, data warehousing or ETL pipelines.
Dr Mutlu Dogruel is Microsoft’s Azure Genomics Lead in the UK and a senior Cloud Solution Architect in data & AI, working with Microsoft’s healthcare and pharmaceutical customers in the UK. Mutlu holds a master’s degree in biotechnology and a PhD in bioinformatics which was jointly supervised by the University of Cambridge and the Wellcome Trust Sanger Institute. Before joining Microsoft, Mutlu worked as a senior bioinformatics consultant, designed and implemented cloud-based genomics pipelines for pharmaceutical and fast-moving consumer goods companies.