搜索资源列表
123
- 关于支持向量机的算法 支持向量机在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-On support vector machine support vector machine algorithm to solve small sample, nonlinear and high dimensional pattern recognition showed the advantage of many special, and can be
bayes
- 机器学习中关于贝叶斯公式和全概率公式的PPT讲解 很全面细致-Bayesian machine learning on the total probability formula and the formula is very comprehensive and detailed explanation of PPT
jiqixuexikecheng
- 这是斯坦福大学公开课讲的机器学习课件，适合初学者学习。-This is the open class at Stanford University talked about machine learning courseware, suitable for beginners to learn.
python-dateutil-1.4.1.tar
- （python）机器学习实战书籍实验数据（全）-Machine Learning in Action-python-data
notes
- 机器学习 斯坦福大学教授 Andrew Ng 主讲，课程讲义-machine learning class notes and homework