https://github.com/jacksonchen1998/2022-nycu-ml
Homework repository
https://github.com/jacksonchen1998/2022-nycu-ml
Last synced: 2 months ago
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Homework repository
- Host: GitHub
- URL: https://github.com/jacksonchen1998/2022-nycu-ml
- Owner: jacksonchen1998
- Created: 2022-10-28T05:44:38.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-26T05:16:31.000Z (over 3 years ago)
- Last Synced: 2025-03-05T06:43:07.971Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 11.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 2022-NYCU-ML
## Homework repository for the course
Detail can be checked in each homework's pdf
* [Homework 01](./hw1_311511052/ML2022_HW1.pdf)
* Bayesian Linear Regression
* Linear Regression (red wine quality)
* [Homework 02](./hw2_311511052/ML2022_HW2_v2.pdf)
* Classification Problem (MINIST)
* Gaussian Process for Regression
* [Homework 03](./hw3_311511052/ML2022_HW3.pdf)
* Support Vector Machine (SVM)
* Gaussian Mixture Model
## Class Notes
[HackMD](https://hackmd.io/MbIYTs-uRfGpiGpXAjvqhQ)
## Midterm / Final exam
You can bring one page of notes for the exam. The notes should be written by yourself.
You can use any tools to write the notes.
The exam scope will be decided by the instructor.
In 2022 Fall, the midterm scope is from Chapter 1 to Chapter 4.
The final exam scope is from Chapter 6 to Chapter 7 and Chapter 9 and Chapter 13 (but handwritting part).
## Grading
1. Midterm Exam (28%)
2. Final Exam (37%)
3. Homework (35%)
## Reference
[Pattern recognition and machine learning](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf)
Beware that the original book has some mistakes. Please use the corrected version.
Glad that the corrected version has [Chinese version](https://github.com/wwkenwong/book/blob/master/PRML%E4%B8%AD%E6%96%87%E7%89%88_%E6%A8%A1%E5%BC%8F%E8%AF%86%E5%88%AB%E4%B8%8E%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0.pdf).
[Reading Group Slide](https://lear.inrialpes.fr/~jegou/bishopreadinggroup/)