Cousera machine learning

WEEK1.回归问题与分类问题（区别在于输出是否连续）

When the target variable that we’re trying to predict is continuous, such as in our housing example, we call the learning problem a regression problem. When y can take on only a small number of discrete values (such as if, given the living area, we wanted to predict if a dwelling is a house or an apartment, say), we call it a classification problem.

WEEK2

WEEK5

反向传播的具体步骤~

WEEK6

Deciding What to Do Next Revisited 如何采用合适的技巧来取得更好的效果（高方差/高偏差）各种低阶高阶多项式，lambda的影响啊什么的