Episode description
Episode description
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
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