22-25 April 2026 
Time Travel with Azure ML
2016TL; DR
This session looks at building time series analysis with AzureML in R
Session Details
AzureML has piqued the interest of data scientist and non-data scientist alike inspiring a new brand of solutions for companies to unlock insights from their data. In this session Richard Conway will take you though the building blocks of time series analysis using real-world models of energy and stock prediction. Richard will show that with combinations of linear algebra, R and AzureML you can begin building predictive solutions in new time.
3 things you'll get out of this session
Speakers
Richard Conway's previous sessions
Performance Optimization with Azure Databricks
Azure Databricks has become one of the staples of big data processing. See how to make the most of it by understanding how Spark works under the covers.
Machine Learning at Scale with Apache Spark
Richard will show you, from no knowledge of Spark, how to navigate the Spark framework ecosystem and build complex batch and near real time applications that use Spark's machine learning library mllib