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AI/ML & Data Talks Podcast Episode 15

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Content provided by AI/ML Data Talks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AI/ML Data Talks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Dickson Neoh is currently working as Developer Advocate at ZenML, a startup that focuses on providing extensible, open-source MLOps framework to create production-ready machine learning pipelines. Prior to joining ZenML, Dickson was working as an academician at UNITEN, a private university in Malaysia. Besides doing research, Dickson is passionate in areas such as Computer Vision, Artificial Intelligence and Machine Learning. In this episode, Dickson shared about his current works in MLOps and how the MLOps framework is being used to alleviate problems related to Machine Learning Model deployment.

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20 episoade

Artwork
iconDistribuie
 
Manage episode 343908895 series 2999955
Content provided by AI/ML Data Talks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AI/ML Data Talks or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Dickson Neoh is currently working as Developer Advocate at ZenML, a startup that focuses on providing extensible, open-source MLOps framework to create production-ready machine learning pipelines. Prior to joining ZenML, Dickson was working as an academician at UNITEN, a private university in Malaysia. Besides doing research, Dickson is passionate in areas such as Computer Vision, Artificial Intelligence and Machine Learning. In this episode, Dickson shared about his current works in MLOps and how the MLOps framework is being used to alleviate problems related to Machine Learning Model deployment.

Featuring

Notes and Links

Leave a voice message

https://anchor.fm/aimldatatalks/message

  continue reading

20 episoade

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