ML System

Understanding Machine Learning Systems

This course includes

3 articles

6 mins reading time

3 videos • 22 mins

Data Distribution Shift 5 Topics, Read: 2 mins, 1 Video: 11 mins

Distribution Shift or Data Drift

Bayes' Theorem

Covariate Shift (P(X) Changes)

Label Shift or Prior Probability Shift (P(Y) Changes)

Concept Drift or Posterior Shift (P(Y|X) Changes)

Data Distribution Shift | Covariate Shift | Label Shift | Concept Drift | Explained with Example Watch 11 mins

Retraining Strategies 4 Topics, Read: 2 mins, 1 Video: 10 mins

Why Retrain a ML Model?

Periodic Retraining (Fixed Interval)

Trigger-Based Retraining (Reactive)

Continual Learning (Online/Incremental)

Model Retraining Strategies | Periodic Retraining | Trigger- Based Retraining | Continual Learning Watch 10 mins

Deployment Patterns 4 Topics, Read: 2 mins, 1 Video: coming soon

Deploy

Shadow Deployment

A/B Testing

Canary Deployment

Deployment Patterns in ML | Shadow Deployment | A/B Testing | Canary Deployment | Explained Watch coming soon