Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

MLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53

MLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53

FromMLOps.community


MLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53

FromMLOps.community

ratings:
Length:
38 minutes
Released:
Sep 7, 2021
Format:
Podcast episode

Description

Coffee Sessions #53 with David Aponte, Demetrios Brinkmann, and Vishnu Rachakonda, MLOps Insights.

//Abstract
MLOps Insights from MLOps community core organizers Demetrios Brinkmann, Vishnu Rachakonda, and David Aponte. In this conversation the guys do a deep dive on testing with respect to MLOps, talk about what they have learned recently around the ML field, and what new things are happening with the MLOps community.
//Bio
David Aponte
David is one of the organizers of the MLOps Community. He is an engineer, teacher, and lifelong student. He loves to build solutions to tough problems and share his learnings with others. He works out of NYC and loves to hike and box for fun. He enjoys meeting new people so feel free to reach out to him!
Demetrios Brinkmann
At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.
Vishnu Rachakonda
Vishnu is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.
Other Links:
Continuous Delivery for Machine Learning article by Martin Fowler: https://martinfowler.com/articles/cd4ml.html
To Engineer Is Human book by Henry Petroski: https://www.amazon.com/Engineer-Human-Failure-Successful-Design/dp/0679734163
----------- Connect With Us ✌️-------------   
Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/

Timestamps:
[00:14] Tests and how to do tests in MLOps
[09:10] Learning from Vishnu and David's new job
[12:42] How will it change?
[19:48] Forcing to do the right thing vs allowing to do the wrong thing
[21:54] Dealing with Machine Learning Models and Data
[25:10] Feature store and monitoring compare page
Released:
Sep 7, 2021
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.