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

• Moodle
• github, including wiki and schedule

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?