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Classroom Contents
Developing Scalable Machine Learning Pipelines for Gaming Industry
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- 1 Introduction
- 2 Mobile Gaming
- 3 Architecture
- 4 Data Processing
- 5 Processing at Scale
- 6 The Model API
- 7 Davinci Library
- 8 Dataset
- 9 Target Variable
- 10 Compound Classifier
- 11 Metadata
- 12 Training Parameters
- 13 Random Forest Classifier
- 14 Search Space
- 15 Callback
- 16 Training
- 17 Why it took so long
- 18 Run ID
- 19 Deployment Process
- 20 Deployment to Production
- 21 Results
- 22 Framework for Retraining
- 23 Other Use Cases
