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Classroom Contents
Productionizing Machine Learning with Microservices Architecture
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- 1 Intro
- 2 Machine Learning Pipeline
- 3 Service
- 4 Composition
- 5 Workflow
- 6 Automated workflows
- 7 Payoneer
- 8 Traditional Active Architecture
- 9 Microservices Architecture
- 10 Monitoring
- 11 ML Run
- 12 ML Project
- 13 Code to Function
- 14 Analyzing Data
- 15 Running a Job
- 16 Running on a Distributed Cluster
- 17 Creating a Bigger Pipeline
- 18 Defining a DSL
- 19 Automated workflow
- 20 Spark
