Andrew Ng Machine learning Introduction
1. 机器学习的定义:Machine learning is programming computers to optimize a performance criterion(优化性能标准) using example data or past experience.
2. 监督学习(Supervised Learning):The term supervised learning refers to the fact that we gave the algorithm a data set in which the "right answer" were given.
1) 回归问题(Regression):Predict continuous valued output
2) 分类问题(Classification):Discrete valued output(0 or 1)
3.非监督学习(Supervised Learning):Clustering Algorithm(聚类算法)