摘要：
Feature Scalling Idea: Make sure features are on a similar scale 特征缩放 想法：确保所有的特征在相似的范围 为什么进行特征缩放？ 例如：x1 = size (0-2000 feet2) x2 = number of bedrooms 阅读全文
摘要：
Hypothesis: \[{h_\theta }\left( x \right) = {\theta ^T}x = {\theta _0} + {\theta _1}{x_1} + {\theta _2}{x_2} + ... + {\theta _n}{x_n}\] 参数（Parameters） 阅读全文
摘要：
Multiple features (variables) Size x1 Number of bedrooms x2 Number of floors x3 Age of home(year) x4 Price y Notation: n = number of features x(i) = i 阅读全文
摘要：
梯度下降算法 重复直到收敛{ \[{\theta _j}: = {\theta _j} - \alpha \frac{\partial }{{\partial {\theta _j}}}J\left( {{\theta _0},{\theta _1}} \right)\left( {for{\rm{ 阅读全文
摘要：
Have some function J(θ0, θ1), generally J(θ0, θ1,θ2, θ3,..., θn) Want: \[\mathop {\min }\limits_{{\theta _0},{\theta _1}} J\left( {{\theta _0},{\theta 阅读全文