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https://februarysea.com/2019/11/15/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%EF%BC%88%E4%BA%8C%EF%BC%89%E9%80%BB%E8%BE%91%E5%9B%9E%E5%BD%92/
该系列内容是基于吴恩达老师的机器学习课程笔记。 参考了@fengdu78的课程笔记开源项目。 分类问题(Classifiction)在分类问题中,要预测的变量 $y$ 是离散的值,将学习一种叫做逻辑回归 (Logistic Regression) 的算法,这是目前最流行使用最广泛的一种学习算法。 在分类问题中,我们尝试预测的是结果是否属于某一个类(例如正确或错误)。分类问题的例子有:判断一封电子
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https://februarysea.com/2019/11/15/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%EF%BC%88%E4%BA%8C%EF%BC%89%E9%80%BB%E8%BE%91%E5%9B%9E%E5%BD%92/
该系列内容是基于吴恩达老师的机器学习课程笔记。 参考了@fengdu78的课程笔记开源项目。 分类问题(Classifiction)在分类问题中,要预测的变量$y$ 是离散的值,将学习一种叫做逻辑回归 (Logistic Regression) 的算法,这是目前最流行使用最广泛的一种学习算法。 在分类问题中,我们尝试预测的是结果是否属于某一个类(例如正确或错误)。分类问题的例子有:判断一封电子
The text was updated successfully, but these errors were encountered: