随笔分类 -  machine learning

摘要:Logistic Regression Model 1. Cost Function We cannot use the same cost function that we use for linear regression because the Logistic Function will c 阅读全文
posted @ 2016-12-19 15:22 FlySevenWu 阅读(560) 评论(0) 推荐(0)
摘要:Logistic Regression Model 1. Cost Function We cannot use the same cost function that we use for linear regression because the Logistic Function will c 阅读全文
posted @ 2016-12-19 15:21 FlySevenWu 阅读(294) 评论(0) 推荐(0)
摘要:Classification and representation 1. Classification To attempt classification, one method is to use linear regression and map all predictions greater 阅读全文
posted @ 2016-12-17 19:56 FlySevenWu 阅读(372) 评论(0) 推荐(0)
摘要:Computing Parameters Analytically 1 Normal Equation(正规方程) Gradient descent gives one way of minimizing J. Let’s discuss a second wayof doing so, this 阅读全文
posted @ 2016-12-08 21:52 FlySevenWu 阅读(227) 评论(0) 推荐(0)
摘要:Multivariate Linear regression 1. Multiple Features Linear regression with multiple variables is also known as "multivariate linear regression". We no 阅读全文
posted @ 2016-12-07 22:20 FlySevenWu 阅读(349) 评论(0) 推荐(0)
摘要:Parameter Learning 刚发现这儿的markdown似乎不支持latex公式,是我没正确打开么。。。。 1. Gradient Descent So we have our hypothesis function and we have a way of measuring how w 阅读全文
posted @ 2016-12-01 22:49 FlySevenWu 阅读(236) 评论(0) 推荐(0)
摘要:Model and Cost Function 1. Model Representation To establish notation for future use, we’ll use x(i) to denote the “input”variables (living area in th 阅读全文
posted @ 2016-11-30 22:25 FlySevenWu 阅读(236) 评论(0) 推荐(0)
摘要:Machine Learning 1. What is Machine Learning? Two definitions of Machine Learning are offered. Arthur Samuel described it as: "the field of study that 阅读全文
posted @ 2016-11-28 22:58 FlySevenWu 阅读(216) 评论(0) 推荐(0)