MLOps Liveinactive
Publisher |
neptune.ai
Media Type |
audio
Categories Via RSS |
Technology
MLOps Live is a biweekly Q&A show where practitioners doing ML at a reasonable scale answer questions from other ML practitioners. Every episode focused on one specific subject related to MLOps. Only the juicy bits, the things you won’t find in a company blog post.
Country Of Origin |
Poland
Produced In |
Warsaw, Masovia
Premiere Date |
2022-05-06
Related Hashtags |
#AI
#ExperimentTracking
#MachineLearning
#ML
#MLOps
Frequency |
Biweekly
Explicit |
No

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27 Available Episodes (27 Total)Average duration: 00:51:48
Apr 12 | 00:53:56
Managing Data and ML Teams to Deliver Value with Delina Ivanova
Mar 29 | 00:49:48
Leveraging MLOps Technologies and Principles at Non-ML Companies with Andreas Malekos and Ivan Chon-Hon Chan
Mar 15 | 00:57:34
Doing MLOps for Clinical Research Studies with Silas Bempong and Abhijit Ramesh
Mar 01 | 00:55:58
Deploying Conversational AI Products to Production with Jason Flaks
Feb 15 | 00:52:31
Implementing Vector Search Engines with Kacper Lukawski
Feb 01 | 00:54:43
ML platform teams, features stores, versioning in data pipelines, and where MLOps extends DevOps with Aurimas Griciūnas and Piotr Niedźwiedź
Jan 18 | 00:52:28
Continuous MLOps Pipelines with Itay Ben Haim
Jan 04 | 00:51:46
Setting Up MLOps at a Healthcare Startup with Vishnu Rachakonda
Dec 21 | 00:49:20
Intersecting DevOps With the ML Lifecycle with Shirsha Ray Chaudhuri
Dec 07 | 00:50:23
Writing Clean, Production-Level ML Code with Laszlo Sragner
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