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Classroom Contents
From Experimentation to Products - The Production Machine Learning Journey
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- 1 Intro
- 2 Production ML
- 3 We need MLOps
- 4 Continuous integration, deployment and testing
- 5 MLOps level 0: Manual Process
- 6 Experiment
- 7 Tales from the trenches
- 8 TensorFlow Extended TFX
- 9 TFX production components
- 10 What is a TFX component?
- 11 TFX orchestration
- 12 Difference between TFX & Kubeflow pipelines
- 13 Distributed pipeline processing: Apache Beam
- 14 TFX standard components
- 15 Components: ExampleGen, StatisticsGen & SchemaGen
- 16 Components: ExampleValidator, Transform & Trainer
- 17 Components: Tuner, Evaluator & InfraValidator
- 18 Components: Pusher & BulkInferrer
- 19 TFX pipeline nodes
- 20 TRFX custom components
- 21 Very high level architecture
- 22 Outro
