CourseAI / ML Engineer: The Complete Course · Module 13: Specialisation · part 77 of 93
Part 77 · Module 13: Specialisation

Module 13: Specialisation

1 min read·

What you need first

  • LightGBM and PR-AUC (Module 3), costs and calibration (Module 3 lesson 3), CNNs and the message classifier (Module 4 lesson 3) and error analysis (Module 6 lesson 2). The lab's Step 1 rebuilds Modules 1 to 12.
  • No keys needed. One optional zero-shot comparison goes through ask() and is checked with scripted fakes; the Whisper snippet is a local step, not run here.
  • If you already work in one specialist track and read its papers, 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.

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