MLOps Meetup #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde episode artwork

EPISODE · Jun 11, 2020 · 1H 1M

MLOps Meetup #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde

from MLOps.community · host Demetrios

MLOps.community meetup #17: a deep dive into the open source ML framework Hermoine built on top of MLflow with Neylson Crepalde  Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletterKey takeaways for attendees: MLOps problems are dealt with tools but also with processes. Open-source framework Hermione can help in a lot of parts of the operations process  // Abstract: In Neylson's experience with Machine Learning projects, he has encountered a series of challenges regarding agile processes to build and deploy ML models in a professional cooperative environment that fosters teamwork. While on this journey, Neylson and his team developed some of their own solutions for these challenges.  Out of this was the open-source project Hermoine born. Hermoine is a collection of solutions for these specific MLOps problems that were packaged into a library, an ML project structure framework called Hermione.  In this meetup, we talk about these challenges, what they did to overcome them, and how Hermione helped address these different issues along the way. We will also do a demo on how to build an ML project with Hermione.  Check out Hermoine here: https://github.com/a3data/hermione  Neylson Crepalde is a partner and MLOps Tech Lead at A3Data. He holds a PhD in Economic Sociology, a Master's in Sociology of Culture, an MBA in Cultural Management, and a bachelor's degree in Music/Conducting. He is a professor of Machine Learning and Head of the Data Science Department at Izabela Hendrix Methodist Technological University. His main research interests are Machine Learning processes, Politics and Deliberation, Economic Sociology, and Sociology of Education. In his PhD, he has worked with Multilevel Social Network Analysis and Exponential Random Graph Models to understand the social construction of quality in an orchestra’s market.  Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunity Sign up for the next meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g  Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Neyslon on LinkedIn: https://www.linkedin.com/in/neylsoncrepalde/

Episode metadata supplied by the publisher feed · Published Jun 11, 2020

Embed this episode

NOW PLAYING

MLOps Meetup #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde

0:00 1:01:29

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of MLOps.community?

This episode is 1 hour and 1 minute long.

When was this MLOps.community episode published?

This episode was published on June 11, 2020.

Can I download this MLOps.community episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!