Completed
Metadata
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Developing Scalable Machine Learning Pipelines for Gaming Industry
Automatically move to the next video in the Classroom when playback concludes
- 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
