MLOps.community
A podcast by Demetrios Brinkmann
Categories:
382 Episodes
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Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19
Published: 24/11/2020 -
The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43
Published: 23/11/2020 -
When Machine Learning meets privacy - Episode 3 with Charles Radclyffe
Published: 19/11/2020 -
UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42
Published: 16/11/2020 -
When Machine Learning meets Data Privacy - Episode 2 with Cat Coode
Published: 12/11/2020 -
When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot
Published: 10/11/2020 -
Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41
Published: 10/11/2020 -
Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production
Published: 9/11/2020 -
When Machine Learning meets Data Privacy
Published: 5/11/2020 -
Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17
Published: 3/11/2020 -
Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40
Published: 30/10/2020 -
Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39
Published: 27/10/2020 -
Machine in Production = Data Engineering + ML + Software Engineering // Satish Chandra Gupta // MLOps Coffee Sessions #16
Published: 26/10/2020 -
MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15
Published: 20/10/2020 -
Scalable Python for Everyone, Everywhere // Matthew Rocklin // MLOps Meetup #38
Published: 19/10/2020 -
MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova
Published: 18/10/2020 -
MLOps Coffee Sessions #14 Conversation with the Creators of Dask // Hugo Bowne-Anderson and Matthew Rocklin
Published: 12/10/2020 -
MLOps Coffee Sessions #12: Journey of Flyte at Lyft and Through Open-source // Ketan Umare
Published: 10/10/2020 -
MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3
Published: 4/10/2020 -
MLOps Meetup #36: Moving Deep Learning from Research to Prod Using DeterminedAI and Kubeflow // David Hershey, DeterminedAI
Published: 4/10/2020
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.