I have been learning about machine learning these days, and a good course I found is from 极客时间 机器学习 40 讲 https://time.geekbang.org/column/article/9762. The first three articles are about frequentist vs bayesian. In short, frequentist views parameters as fixed, but the data is limited in size, so we need to estimate the parameter using noisy data.
A new Machine Learning course
A new Machine Learning course
A new Machine Learning course
I have been learning about machine learning these days, and a good course I found is from 极客时间 机器学习 40 讲 https://time.geekbang.org/column/article/9762. The first three articles are about frequentist vs bayesian. In short, frequentist views parameters as fixed, but the data is limited in size, so we need to estimate the parameter using noisy data.