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Claypot
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Classroom Contents
The Challenges and Opportunities of Continual Learning in Real-Time Machine Learning
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- 1 Claypot
- 2 Batch prediction vs. online prediction
- 3 Online prediction with batch features
- 4 Online prediction with online features
- 5 Train-predict inconsistency
- 6 "Easy" deployment: static
- 7 "Hard" deployment: continual
- 8 4 stages of continual learning
- 9 Smart triggers for retraining
- 10 Continual deployment challenges
- 11 Fresh data challenge
- 12 Algorithm challenge
- 13 Evaluation challenge
- 14 Real-time monitoring vs. batch monitoring
- 15 What to monitor
- 16 Temporal shifts: time window scale matters
- 17 Monitoring features: challenges
- 18 Monitoring solutions
