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AI/ML & Data Talks Podcast Episode 15
Manage episode 343908895 series 2999955
Contenu fourni par AI/ML Data Talks. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par AI/ML Data Talks ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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
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- 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
Partager
Manage episode 343908895 series 2999955
Contenu fourni par AI/ML Data Talks. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par AI/ML Data Talks ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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
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continue reading
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