# README
##
###### tags: `learningEM`

- [name=TSAI Jie-Wen]
- [time=Jan 19, 2022 ]

{%hackmd @nccudocs/medium-theme %}
{%hackmd theme-dark %}

:::success
The book link is [here](https://hackmd.io/@space2022/HJF3UvN6t/%2F%40space2022%2Freadme).
:::

:::success
- [Welcome to Academic Skills (UNSW)](https://www.student.unsw.edu.au/skills)
- [Effective Reading and Note-taking](https://www.student.unsw.edu.au/effective-reading-and-note-taking)
- [PDF tempalte](https://www.student.unsw.edu.au/sites/default/files/uploads/group40/Note_Taking_Reading_single.pdf)

:::

If I wanna be an expert of educational measurement, three major areas I have to learn.

### 1. Stats and Math

:::info
- There are PyTorch-based eseential math materials in the on-line book ==Dive into Deep Learning== [18. Appendix: Mathematics for Deep Learning](https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/index.html#).
:::

- Eseential Math
- Mathetical Statistics
- Probability
- Copmuting and Simulation
- Applied Bayesien modeling
- Applied deep learing

### 2. Hacking skills
- R
- Python ()
- PyTorch

### 3. Domain-specific knowledge
- IRT
- CDM
- CAT...
- Some related ed/psy topics about measurement

Q2. How to achieve this goal?

這邊適合寫中文嗎？？ OK

- [reference](/-4CqnE5rRNCTd34SRQKPHw)
- dkl;[^adam2000]

[^adam2000]: fklsfl;m;lm;l