2018年10月21日
线性回归——代价函数
摘要： Training Set 训练集 Hypothesis: \[{h_\theta }\left( x \right) = {\theta _0} + \theta {x}\] Notation: θi's: Parameters θi's: 参数 How to choose θi's? 如何选择θi 阅读全文
posted @ 2018-10-21 11:32 qkloveslife 阅读(3128) 评论(0) 推荐(0)
线性回归
摘要： Notation: m = Number of training examples x's = "input" variable / features y's = "output" variable / "target" variable (x, y) - one training example 阅读全文
posted @ 2018-10-21 07:30 qkloveslife 阅读(236) 评论(0) 推荐(0)