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What is machine learning?
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Classroom Contents
Introduction to KubeFlow: Using and Use Cases
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- 1 Intro
- 2 What are containers?
- 3 What is kubernetes
- 4 Kubernetes desired state management
- 5 What is machine learning?
- 6 What is kubeflow?
- 7 Kubeflow components
- 8 What's new in 0.6?
- 9 Meet Kubeflow
- 10 Cluster view
- 11 Motivating example
- 12 Collaborative filtering
- 13 Rating Matrix
- 14 Using Minio as a centralized storage
- 15 Kubeflow options for machine learning and model serving
- 16 Using Jupiter for creating implementation
- 17 Converting implementation to TF Job
- 18 Running TF Job
- 19 Deploying TF-serving
- 20 Using TF Serving in streaming applications
- 21 Concept drift
- 22 Continuous model updates implementation
- 23 Additional custom components
- 24 Argo workflow
- 25 Bringing it all together
- 26 Try this yourself
