Terry is a Microsoft Artificial Intelligence MVP, awarded in recognition of his contributions to the Microsoft Data Science & Artificial Intelligence communities. His focus is on all things AI and Data Science. Terry has a passion for applying traditional Software Engineering techniques to Data, to improve the way teams deliver Machine Learning projects. Terry holds an Masters degree in Machine Learning and is continually interested in the application of academic research in industry. Terry is the host of the popular podcast Data Science in Production, where he interviews leading Data Scientists. His spare time is spent with his wife and two boys in their home in Devon.


This session explores SQL Server 2017's Graph processing to better understand interconnectivity and behaviour in your data.
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.
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
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.
In this session we focus on how Spark implements Machine Learning at Scale with Spark ML.