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AI/ML & Data Talks Podcast Episode 15
Manage episode 343908895 series 2999955
Treść dostarczona przez AI/ML Data Talks. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez AI/ML Data Talks lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.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 odcinków
Udostępnij
Manage episode 343908895 series 2999955
Treść dostarczona przez AI/ML Data Talks. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez AI/ML Data Talks lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.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 odcinków
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Podobny do 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
Three nerds discussing tech, Apple, programming, and loosely related matters.
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continue reading
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…
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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