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Classroom Contents
Data Science at Uber - Full Stack Deep Learning - August 2018
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- 1 Intro
- 2 Jais background
- 3 Lifecycle of a deep learning model
- 4 Customer obsession ticket resistant
- 5 Ticket complexity
- 6 Too many transitions
- 7 First step exploration
- 8 The process
- 9 First things first
- 10 The problem
- 11 Summary
- 12 Emily Model
- 13 Data
- 14 Model Types
- 15 Cost Benefit Tradeoffs
- 16 Final Architecture
- 17 Model Validation
- 18 Entity in Wedding
- 19 Open Source Visualization
- 20 End Result
- 21 Challenges
- 22 Spark
- 23 Distributed training
- 24 Testing strategy
- 25 Metrics
- 26 Department Summary
- 27 Monitoring Training
- 28 Retraining
- 29 Pipeline
- 30 Training Data
- 31 Summary of Monitoring
