# Resource (2022-12-21) - Computer Science - [Harvard CS50](https://www.youtube.com/playlist?list=PLhQjrBD2T383f9scHRNYJkior2VvYjpSL) - [台大 陳縕儂:演算法設計與分析](https://www.youtube.com/watch?v=E9325Kh9kWk&list=PLOAQYZPRn2V6ms1JSww6pqXKf5x0o_gan) - [教材](https://cool.ntu.edu.tw/courses/17712/quizzes) - [清大開放課程](https://ocw.nthu.edu.tw/ocw/index.php?page=courseList&classid=1) - [清大 周志遠: 作業系統](https://www.youtube.com/watch?v=7EOttqasc5U&list=PL9jciz8qz_zyO55qECi2PD3k6lgxluYEV&index=1) - [清大 蔡仁松: 資料結構](https://www.youtube.com/watch?v=vi23i4ZG1cI&list=PLS0SUwlYe8cxbiGgUdK24o756wfbG3Xrw&index=1) - [清大 吳尚鴻: Web Programming, Technologies, and Applications](https://www.youtube.com/watch?v=rubxoIKF3gk&list=PLS0SUwlYe8cw25rA4J7dTz4Hg7H23Bk84) - ... - Machine Learning - [台大 李宏毅](https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php) - [台大 陳縕儂](https://www.youtube.com/watch?v=rrw0IIEVEUo&list=PLOAQYZPRn2V5yumEV1Wa4JvRiDluf83vn&index=1) - [台大 林軒田](https://www.coursera.org/instructor/htlin): 偏理論 - [Amazon 李沐](https://courses.d2l.ai/zh-v2/) (Stanford CS329P) (使用PyTorch) - [教材](https://zh.d2l.ai/) - [Stanford](https://www.youtube.com/user/stanfordonline/playlists), [deeplearning.ai](https://www.deeplearning.ai/courses/) (吳恩達) (使用Matlab, Octave, Keras, TensorFlow) - [Stanford CS229](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh) - [fast.ai](https://course18.fast.ai/ml) (使用PyTorch) - [清大 吳尚鴻](https://www.youtube.com/watch?v=jqLidqLZbA8&list=PLS0SUwlYe8cyFuMXAXIB1f5-BggwpVGG_): 偏理論 參考 - https://csdiy.wiki/ - https://medium.com/@YungHui_Med/%E5%BE%9E0%E9%96%8B%E5%A7%8B%E6%B7%B1%E5%BA%A6%E5%AD%B8%E7%BF%92-%E5%A6%82%E4%BD%95%E6%9C%89%E6%95%88%E7%8E%87%E7%9A%84%E5%85%A5%E9%96%80-93135ab9f256