Adopting Amazon SageMaker for machine learning at FreeAgent
Description changed:
Welcome to PyData Edinburgh 2021, July edition! Tonight, we have a great talk about model deployment in the cloud.
As always, we're keeping this to a one hour session, and we will have a main talk plus a Q&A session at the end. We will meet at 6.00pm, use the Zoom link which will be provided in the registration email once you RSVP.
We want to very much keep this group alive, so let us know if you would like to give a talk in the future, whether a main or a lightning one, we're always looking out for speakers (as you know!).
MAIN TALK & SPEAKER BIO:
=====================================================================
SageMaker is Amazon Web Services’ (AWS) platform for machine learning. It offers a range of different features that cover the end-to-end lifecycle of a machine learning project, vastly simplifying the process. Or at least that is the promise, but is it the reality? At FreeAgent, the Data Science team has been using SageMaker extensively for two years. In this talk I want to share our experiences and introduce the key SageMaker features that work well for us in solving specific problems. I will also highlight some problems we encountered along the way and share the lessons we learned in adopting an AWS-based approach to machine learning.
Bio
David Edwards is a Senior Software Engineer at FreeAgent. He joined FreeAgent as a Data Scientist and worked to bring FreeAgent’s first machine learning driven feature to customers. Recently, he has moved to FreeAgent’s Data Platform team to help enable teams across the company to deliver data-driven capabilities to customers.
LOGISTICS
===========
1755: Zoom Waiting room will open
1800: Meetup will start - welcome & community announcements followed by our main speaker, and then Q&A
We'll aim to be finished by 1900
REMOTE MEETINGS
===================
Please remember the Code of Conduct applies to a remote meeting as well.
When you join the meeting, your microphone will be muted, and your camera switched on, we miss you all, it's nice to see you! Once the talk starts, feel free to switch your camera off.
We'll use the chat channel in Zoom to deal with any issues, and we'll advise on how we will run the Q&A at the start of the session.
SPONSORS
=============================
While we might not be making such full use of our sponsors as we normally do, we still appreciate all they do for us to allow us to run this group - so thanks to Cathcart Associates, Wood Mackenzie, Solarwinds, Lloyds Banking, Canon Medical and Effini.
CODE OF CONDUCT
====================
Though virtual, our Code of Conduct still applies to all attendees, organisers and speakers. Please take the time to read through if you haven't before, we really appreciate your help to maintain a welcoming and friendly PyData community.
The PyData Code of Conduct (https://pydata.org/code-of-conduct/) governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS using the link found at https://numfocus.org/code-of-conduct.
