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AI/ML & Data Talks Podcast Episode 15
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
- Dickson Neoh - LinkedIn
- Dickson Neoh - Personal Portfolio
Notes and Links
- ZenML
- Universiti Tenaga Nasional
- What is MLOps?
- Data Drift vs Concept Drift
- Monitoring Machine Learning Model
- The philosophy of Ikigai
Leave a voice message
20 episoade
Distribuie
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
- Dickson Neoh - LinkedIn
- Dickson Neoh - Personal Portfolio
Notes and Links
- ZenML
- Universiti Tenaga Nasional
- What is MLOps?
- Data Drift vs Concept Drift
- Monitoring Machine Learning Model
- The philosophy of Ikigai
Leave a voice message
20 episoade
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Similar cu AI/ML & Data Talks Podcast
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
Three nerds discussing tech, Apple, programming, and loosely related matters.
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Marc Fennell and a team of people far smarter than him (his words, not ours) take a fun deep dive into how technology is reshaping our lives.
…
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
…
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…
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