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.
Terry McCann's Sessions
Docker & Kubernetes for the Data ScientistSQLBits 2022
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
Rapid Requirements: Introducing the Machine Learning CanvasSQLBits 2020
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 DatabricksSQLBits 2020
In this session we focus on how Spark implements Machine Learning at Scale with Spark ML.
Deploy ML models faster with Data Science DevOpsSQLBits 2019
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
Deploy ML models faster with Data Science DevOpsSQLBits 2019
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
Deploy ML models faster with Data Science DevOpsSQLBits 2019
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
Deploy ML models faster with Data Science DevOpsSQLBits 2019
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
Deploy ML models faster with Data Science DevOpsSQLBits 2019
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
Deploy ML models faster with Data Science DevOpsSQLBits 2019
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
Enhancing relational models with graph in SQL Server 2017SQLBits 2018
This session explores SQL Server 2017's Graph processing to better understand interconnectivity and behaviour in your data.