機器學習
Machine Learning
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|---|---|---|
2 09:00–09:50 | 機器學習 ED201（光復） | |
5 13:20–14:10 | 機器學習 ED201（光復） 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
Learn the concepts, principles, and mathematics of some important methods in machine learning. ***Important Notice*** This is NOT a general course for machine learning, but a course especially for students strongly interested in machine learning. You can expect to read a lot of theoretical or mathematical derivations. If you just want a general understanding of machine learning or get familiar with some machine learning tools, this is NOT the right course for you. ※本課程將培育學生具備下述幾項核心能力: 1.1 機器學習相關專業知識之能力 1.2 機器學習方法之理解及分析能力 1.3 使用機器學習軟體工具的能力 2.2 具規劃與實行團隊合作之能力
(Prerequisite) Probability, Linear Algebra, Random Processes (Optional but Strongly Recommended) Detection & Estimation
無備註
Classroom: You may either come to the calssroom or listen to the lectures via Google Meet. Time: 1:20pm-3:10pm ED201 Wednesday Online Google Meet: https://meet.google.com/pux-dcmd-ivw 9:00am-9:50am ED201 Friday Online Google Meet: https://meet.google.com/mby-yozi-uyf Class Notes are available on E3 platform TA: 張鈞瑋 szjerry900912@gmail.com 黃柏翰 pasjuge@gmail.com 林柏彣 benny6551102@gmail.com 陳柏翔 danielnds123@gmail.com
Homework 45% Final Project 25% Due: 2025/6/15 (Sunday) Final Exam 30% 1:20pm - 3:20pm, 2025/6/4 (Wednesday)
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(Optional) Pattern Recognition and Machine Learning by Christopher M. Bishop, Springer, 2007.
- 地點
- Room 649, Engineering Building IV
- 時間
- 10:00am-Noon, Wednesday
- 聯絡方式
- shengjyh@nycu.edu.tw