数学

  1. 随机变量
  2. 假设检验
  3. 回归分析
  4. 线性代数
  5. 生物统计学
  6. 数学基础


https://web.stanford.edu/~jurafsky/slp3/
https://openacttexts.github.io/LDACourse1/model-selection-and-estimation.html

点击下载

https://www.probabilitycourse.com/chapter11/11_1_2_basic_concepts_of_the_poisson_process.php

生信小木屋

Newton's Method and Fisher Scoring

https://hua-zhou.github.io/teaching/biostatm280-2017spring/slides/18-newton/newton.html

生信小木屋

https://stackoverflow.com/questions/12066761/what-is-the-difference-between-gradient-descent-and-newtons-gradient-descent

http://www.whudj.cn/?p=1042