CourseAI / ML Engineer: The Complete Course · Module 8: Model Optimisation · part 49 of 93
Part 49 · Module 8: Model Optimisation

Module 8: Model Optimisation

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What you need first

  • The MLP and its training loop (Module 4 lesson 1), attention (Module 4 lesson 3), PR-AUC and the Brier score (Module 3 lesson 3), and percentiles (Module 1 lesson 3). The lab's Step 1 rebuilds Modules 1 to 7.
  • No model calls and no keys.
  • If you already quantise, export to ONNX and benchmark with percentiles and cold starts, go to the lab.

The rest of this course is yours to keep

This course is bought on its own, once, and stays readable afterwards, including the parts added to it later.

Or open everything with a plan