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）
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