機器學習
Machine Learning
學期
109-2
學分
3
學分
當期課號
5091
永久課號
ECM9032
開課單位
電信工程研究所
授課教師
李佳翰
校區
光復
類別
選修
上課時間表
| 節 | 週二 | 週四 |
|---|---|---|
5 13:20–14:10 | 機器學習 ED203 2 節連堂 | |
6 14:20–15:10 | ||
7 15:30–16:20 | 機器學習 ED203 |
* 根據陽明交大上課時間表所列
概述
1. The goal of this course is to help students master the basic concepts and skills of machine learning that will be helpful for their study and research. 2. Students will learn how to implement machine learning algorithms. Some homeworks are about implementing machine learning algorithms in Python. 3. Students will apply what they learn to the final project.
先修科目
Probability, Linear algebra, Programming in Python (preferred, not required. TA will teach basics.)
教學方式
TA: TBA (Office: ED716)
評分方式
Homework (programming) 30%, Midterm 40%, Final project 30%
課程大綱
- Introduction
- Probability Distributions
- Linear Models for Regression and Classification
- Kernel Methods
- Graphical Models
- Mixture Models and EM
- Approximate Inference
- Sampling Methods
- Hidden Markov Models
- Neural Networks and Deep Learning
教科書
Christopher Bishop, Pattern Recognition and Machine Learning, Springer, 2007
Office Hours
- 地點
- ED808
- 時間
- By appointment
- 聯絡方式
- chiahan@nctu.edu.tw