Steph Locke wants to live in a world where everyone she encounters enjoys their jobs and is awesome. Since she's gifted with the inability to be daunted by a task, she's using her unbounded perkiness to bring awesomeness to the people.
Living the dream as a data scientist, Steph spends her days helping people gett value out of data. When she’s not doing exceedingly fun stuff during the day, you can probably find her doing exceedingly fun stuff at a community event.
Steph Locke has submitted 40 sessions for SQLBits 2019, although the agenda hasn't been chosen yet. See all
submitted sessions.
Pending Sessions
Create and deploy a website from your phone, make edits live, and learn about important web development concepts as we go along!
Just started using Git? Finding it really hard to use? It's not as complicated as it looks! We'll go through an overview of Git, and dive into what you really need to know in order to be able to work effectively and easily with it.
Wanna go contracting or consulting or got a killer startup idea but don't know where to start? In this workshop we'll take you through planning your business out and how to get started on all the infrastructure you'll need.
We want to do no harm but sometimes our models have unintended consequences. Come learn about some of the ethical challenges data scientists can face and ways we can ensure we act ethically.
There’s no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.
What are the cutting edge R packages that’ll make doing data science a breeze? Come along to find out!
Microsoft’s ML Server can help you overcome in-memory restrictions of R and allows you to build and deploy models that can be used natively in SQL or accessible via a web service.
Microsoft have a lot of great tools for doing data science. The trouble is they have a lot of great tools for doing data science! This session gives you a framework to help you decide on the right tool to fit your needs.
Work through requirements and a solution for a robust framework that'll work with R and Python models using your existing SQL Server implementation to ensure machine learning activities are auditable.
Using packages such as xml2, jsonlite and jq, this session will showcase how you can work with XML and JSON easily. We'll also cover how you can work with data that's been stored in SQL Server so you can integrate this into your day job.
Create and deploy a website from your phone, make edits live, and learn about important web development concepts as we go along!
Just started using Git? Finding it really hard to use? It's not as complicated as it looks! We'll go through an overview of Git, and dive into what you really need to know in order to be able to work effectively and easily with it.
Wanna go contracting or consulting or got a killer startup idea but don't know where to start? In this workshop we'll take you through planning your business out and how to get started on all the infrastructure you'll need.
We want to do no harm but sometimes our models have unintended consequences. Come learn about some of the ethical challenges data scientists can face and ways we can ensure we act ethically.
There’s no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.
What are the cutting edge R packages that’ll make doing data science a breeze? Come along to find out!
Microsoft’s ML Server can help you overcome in-memory restrictions of R and allows you to build and deploy models that can be used natively in SQL or accessible via a web service.
Microsoft have a lot of great tools for doing data science. The trouble is they have a lot of great tools for doing data science! This session gives you a framework to help you decide on the right tool to fit your needs.
Work through requirements and a solution for a robust framework that'll work with R and Python models using your existing SQL Server implementation to ensure machine learning activities are auditable.
Using packages such as xml2, jsonlite and jq, this session will showcase how you can work with XML and JSON easily. We'll also cover how you can work with data that's been stored in SQL Server so you can integrate this into your day job.
Create and deploy a website from your phone, make edits live, and learn about important web development concepts as we go along!
Just started using Git? Finding it really hard to use? It's not as complicated as it looks! We'll go through an overview of Git, and dive into what you really need to know in order to be able to work effectively and easily with it.
Wanna go contracting or consulting or got a killer startup idea but don't know where to start? In this workshop we'll take you through planning your business out and how to get started on all the infrastructure you'll need.
We want to do no harm but sometimes our models have unintended consequences. Come learn about some of the ethical challenges data scientists can face and ways we can ensure we act ethically.
There’s no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.
What are the cutting edge R packages that’ll make doing data science a breeze? Come along to find out!
Microsoft’s ML Server can help you overcome in-memory restrictions of R and allows you to build and deploy models that can be used natively in SQL or accessible via a web service.
Microsoft have a lot of great tools for doing data science. The trouble is they have a lot of great tools for doing data science! This session gives you a framework to help you decide on the right tool to fit your needs.
Work through requirements and a solution for a robust framework that'll work with R and Python models using your existing SQL Server implementation to ensure machine learning activities are auditable.
Using packages such as xml2, jsonlite and jq, this session will showcase how you can work with XML and JSON easily. We'll also cover how you can work with data that's been stored in SQL Server so you can integrate this into your day job.
Create and deploy a website from your phone, make edits live, and learn about important web development concepts as we go along!
A formal but unscripted debate between Steph Locke and Alex Yates.
Wanna go contracting or consulting or got a killer startup idea but don't know where to start? In this workshop we'll take you through planning your business out and how to get started on all the infrastructure you'll need.
We want to do no harm but sometimes our models have unintended consequences. Come learn about some of the ethical challenges data scientists can face and ways we can ensure we act ethically.
There’s no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.
What are the cutting edge R packages that’ll make doing data science a breeze? Come along to find out!
Microsoft’s ML Server can help you overcome in-memory restrictions of R and allows you to build and deploy models that can be used natively in SQL or accessible via a web service.
Microsoft have a lot of great tools for doing data science. The trouble is they have a lot of great tools for doing data science! This session gives you a framework to help you decide on the right tool to fit your needs.
Work through requirements and a solution for a robust framework that'll work with R and Python models using your existing SQL Server implementation to ensure machine learning activities are auditable.
Using packages such as xml2, jsonlite and jq, this session will showcase how you can work with XML and JSON easily. We'll also cover how you can work with data that's been stored in SQL Server so you can integrate this into your day job.