Theory of Intelligence
MACHINE LEARNING•Foundations•An End To End Ml Project•4.7 Launch, Monitor & Maintain

Introduction

Put a trained model into use, watch it for drift and decay once it's live, and keep it healthy with retraining and rollbacks.

Introduction

Training a good model is like building a good car. It still has to be delivered to customers, serviced regularly, and repaired when something goes wrong. A model that sits in a notebook helps nobody.

Once a model is in use, the world keeps changing — new customers, new prices, new behaviour — and its accuracy slowly drops unless someone looks after it. This final topic of the project walks through the three jobs that start after training:

  1. deploying the model so it can be used;
  2. monitoring it while it's running;
  3. maintaining it with retraining and safe updates.

Discuss theoretical concepts, mathematical formulas, and architectural foundations.

Supports inline code with `backticks`
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