2. Instructor Information
3. Course Objectives
Machine learning is the study of algorithms and statistical methods that computers use to "learn" patterns and inferences in order to perform a specific task without explicit instruction. This course mainly aims at providing mathematical/statistical methods, which are essential in machine learning. A wide range of topics will be covered, including but not limited to density estimation, latent variable models, mixture models, clustering, classification, dimensionality reduction, regression, support vector machines, kernel methods, multi-layer perceptrons, and deep learning.
4. Prerequisites & require
A basic understanding of probability/statistics and linear algebra
Python programming language
5. Grading
Assignments: 30% (five or six assignments)
Midterm exam: 30%
Final exam: 30%
Pop-up quiz + attendance: 10% (no exception unless excuses are given in advance)
6. Course Materials
Title |
Author |
Publisher |
Publication Year/Edition |
ISBN |
Machine Learning: A Probabilistic Perspective
|
Kevin P. Murphy
|
MIT Press
|
2012
|
0262018020
|
Pattern Recognition and Machine Learning
|
Christopher M. Bishop
|
Springer
|
2013
|
8132209060
|
7. Course References
Machine Learning: A Probabilistic Perspective (by K. Murphy, 2012)
Pattern Recognition and Machine Learning (by C. Bishop, 2006, Springer)
8. Course Plan
https://docs.google.com/spreadsheets/d/1hyLHHOfrCPbpAXmP0PT6z1V5xQ7DvIHlFsf_4cy3sUg/edit?usp=sharing
9. Course Operation
Lecture: 15:30-16:45 Tuesday/Thursday
Assignment: every two weeks (approx.)
Exam: midterm and final (closed book)
10. How to Teach & Remark
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11. Supports for Students with a Disability
- Taking Course: interpreting services (for hearing impairment), Mobility and preferential seating assistances (for developmental disability), Note taking(for all kinds of disabilities) and etc.
- Taking Exam: Extended exam period (for all kinds of disabilities, if needed), Magnified exam papers (for sight disability), and etc.
- Please contact Center for Students with Disabilities (279-2434) for additional assistance