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Data Scientist vs Software Engineer
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Classroom Contents
Production Model Deployment
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- 1 Intro
- 2 Juliets background
- 3 Agenda
- 4 Lifecycle
- 5 Black boxes
- 6 Featureization
- 7 Deployment as Sharing
- 8 Building a Service
- 9 Models
- 10 Model App
- 11 Problem Serialization
- 12 Does it Function
- 13 Does it Work
- 14 AB Testing
- 15 AB Testing Forever
- 16 Deployment
- 17 Deployment schedule
- 18 When to deploy
- 19 Machine learning pipelines
- 20 Lambda architecture
- 21 Engineering requirements
- 22 Model throughput
- 23 Feature store
- 24 Model output
- 25 Evergreen solution
- 26 The handoff
- 27 Conways Law
- 28 Data Scientist vs Software Engineer
- 29 Data Science Departments
- 30 Machine Learning
- 31 Communication
- 32 Model Handoff
- 33 Clean Interfaces
- 34 Serialization
- 35 PMML
- 36 Limitations of PMML
- 37 General Questions
- 38 Team Structure
- 39 QA
