Planning In-Depth MLOps Discussions and Encouraging Audience Engagement

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MLOps coffee sessions coming at you with our primer episode talking bout KFserving!   David Aponte and Demetrios Brinkmann dive deep into what model serving is in machine learning, what different types of serving there are, what serverless means, API endpoints, streaming and batch data, and a bit of coffee vs tea banter.

||Show Notes||  

ML in Production is Hard Blog article by Nikki: http://veekaybee.github.io/2020/06/09/ml-in-prod/?utm_campaign=Data_Elixir&utm_source=Data_Elixir_289
Interactive learning platform Katacoda: https://www.katacoda.com/
Github repo used in video: https://github.com/aponte411/demos
Blog on different ways to handle model serving: http://bugra.github.io/posts/2020/5/25/how-to-serve-model/  

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/