Machine Learning
The field of study that gives computers the ability to learn without being explicitly programmed.
A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.
Supervised Learning
- Unsupervised Learning
- Reinforcement learning
- Recommender systems
根据训练数据是否有标记信息，可大致把学习任务分成两类，监督学习和无监督学习。前者主要包括分类和回归。后者主要有聚类。
Supervised Learning
- classification
- regression
Unsupervised Learning
- clustering 聚类
需要注意的是，机器学习的目标是学得的模型可以很好的适用“新样本”，而不仅是在训练样本上工作良好，即使对于聚类这样的无监督学习任务，也希望他能适用于新样本，称为 泛化 generaliazation