regression line, correlation

高中最小二乘法(least squares regression)，线性回归

model

$“all\ models\ are\ wrong,\ but\ some\ are\ useful”$

trade between interpretability and accuracy

物理or统计模型

the modeling process: definitions

SLR: Simple Linear Regression 明确input和parameter的区别

有些统计模型可以没有参数！

loss functions

metric for good or bad

minimizing average loss (Empirical Risk 期望风险？)

最优化！

interpreting SLR: slope, Anscombe’s quartet

1. 解释参数意义
2. 预测未知数据

evaluating the model: RMSE, Residual Plot