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Terry McCann
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Sessions & Content
Microsoft MVP. Principal consultant & Owner of Advancing Analytics. A consultancy who help businesses advance their analytics and better understand their data. Frequent speaker at events across the globe. Organiser of the Data Science user group in Exeter, UK and previous co-organiser of SQL Saturday Exeter, UK.
Sessions
Enhancing relational models with graph in SQL Server 2017
This session explores SQL Server 2017's Graph processing to better understand interconnectivity and behaviour in your data.
Using AI to write session submission to SQLBits.
Deep Neural Networks, Long Short Term Memory Models, Data Science, AI, Fun for all the family. Using SQLBits data to write new sessions. Deep technincal but light and fun.
Deploy ML models faster with Data Science DevOps
In this session I will show you how to apply DevOps practices to speed up your development cycle and ensure that you have robust deployable models. We will focus on the Azure cloud platform in particular, however this is applicable to other platforms
Rapid Requirements: Introducing the Machine Learning Canvas
In this session, we will introduce the Advancing Analytics Machine Learning Canvas and how it can be used to capture requirements for Machine Learning Projects.
Machine Learning in Azure Databricks
In this session we focus on how Spark implements Machine Learning at Scale with Spark ML.
Docker & Kubernetes for the Data Scientist
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
Machine Learning in Azure Synapse
There is a lot of content available on Synapse for Data Engineering, but what about Machine Learning? In this session we will look at how to integrate a SparkML model in Synapse.