AI Quality Workshop: How to Test and Debug ML Models

AI Quality Workshop: How to Test and Debug ML Models

Supercharge your ability to drive ML performance with ML testing, drift detection, debugging, and AI bias minimization.



Sub Category

  • Other IT & Software

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Objectives

  • Rapidly evaluate machine learning models for performance
  • Identify and address model drift
  • Debug production ML models
  • Identify and address possible ML bias issues


Pre Requisites

  1. This course is for data scientists and ML engineers, and assumes a working knowledge of Python and an introductory course in machine learning


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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