Chanchal Chatterjee, Cloud AI Leader at Google Cloud will cover a step-by-step overview for the entire machine learning (ML) journey, from concept to production. The presentation offers a sneak peek into the following steps: build the ML components, deploy and predict for a data center anomaly detection use case, deploy these components in a Kubeflow pipeline with orchestration for training and prediction. At the end of this presentation, you will understand how to build an ML model from concept to a final production-ready ML pipeline. The concepts will be showcased on the Google Cloud Platform.
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