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Multivariate Linear RegressionMultiple FeaturesXj(i)X_j^{(i)}Xj(i)​ 表示第 i 个训练样本的的第 j 个值转换原来：hθ(x)=θ0+θ1x1+θ2x2+⋯+θnxnh_{\theta}(x)=\theta_{0}+\theta_{1} x_{1}+\theta_{2} x_{2}+\cdots+\theta_{n...

Introduction机器学习算法分类监督学习 Supervised learning无监督学习 Unsupervised learning监督学习回归 regressionmap input variables to some continuous function分类 classificationmap input variables into discrete ...

资源地址课程地址：https://www.coursera.org/learn/machine-learning/home/welcomeGIthub上的Python代码：https://github.com/kaleko/CourseraMLAndrew建议阅读研究论文在机器学习领域开创事业...