COMP3314 - Machine Learning

Autumn 2016

When

  • Tue 16:30-18:20
  • Fri 17:30-18:20

Where

  • CBA for lecture
  • Tutorial: we can stay in CBA if everyone can bring their own laptop

Better to have your own machine for the assignments and in-class experiments

Who

  • Tutor (i.e. the real boss who grades your stuff)

    • Mengqi PENG
  • Instructor

    • Li-Yi WEI

For faster response, please use the Moodle discussion board for general questions, and email us (c3314 at cs.hku.hk) only for personal matters.

Mediums

Books

  • Python Machine Learning, by Sebastian Raschka
    • code and experiments

  • Introduction to Machine Learning, by Ethem Alpaydin
    • math and theory

Scope

Core machine learning concepts and practices:

  • models
  • algorithms
  • math/theory
  • experiments

Math & Code

Both are important for this class

Lacking one may hamper your performance and enjoyment

Lacking both may be fatal

I don't know your background, so let me know if the class is too fast/slow/easy/difficult etc.

Prerequisite

You decide whether you are ready!

Math

  • calculus
  • linear algebra
  • probability
  • numerical optimization

Coding

  • python

Tools

  • anaconda
    • scikit-learn
    • ipynb
  • git

Enrollment

I am NOT authorized to approve course enrollment

Really!

Please contact the CS office

  • Smitty smitty@cs.hku.hk
  • Phoenix pto@cs.hku.hk

Grading

  • Assignments (50%)
    • via ipynb to contain everything (text, math, code, data, image, etc.)
    • likely 5~7, depending on progress
  • Final exam (50%)
  • Attendance
    • I skipped most classes as a student

Questions?