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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://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 episodes
Share
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://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 episodes
All episodes
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Similar to AI/ML & Data Talks Podcast
Show notes are at https://stevelitchfield.com/sshow/chat.html
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…
continue reading
A podcast featuring panelists of engineers from Netflix, Twitch, & Atlassian talking over drinks about all things software engineering.
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Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
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.
…
continue reading
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Defensive Security Podcast - Malware, Hacking, Cyber Security & Infosec
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