内容主要出自吴恩达机器学习网课
Grew out of in AI
New capabilitiy for computers 计算机开发的新功能
Data mining 数据挖掘
Applications cant program by hand 人无法手写的程序
Self-customizing programs 私人定制程序
Understanding human learning(brain,real AI) 理解人类学习与大脑
Arthur Samuel (1959):Machine Learning: Field ofstudy that gives computers the ability to learnwithout being explicitly programmed.
在没有明确设置的情况下,使计算机具有学习能力的研究领域
Tom Mitchell(1998):Well-posed Learning Problem:A computer program is said to learn from experience E with respect to some task T and some performance measure P,if its performance on T,as measured by P,improves with experience E.
一个适当的学习问题定义如下:计算机程序从经验 E (程序与自己下上万次跳棋)中学习,解决某一任务 T (玩跳棋),进行某一性能度量 P (与新对手玩跳棋时赢的概率),通过 P 测定在 T 上的表现因经验 E 而提高。
假设你的邮箱正在观察你将哪些邮件标记为垃圾邮件,并基于此学习如何更好的过滤邮件,那么在这里任务 T 是什么?
A. Classifying emails as spam or not spam.
B. Watching you label email as spam or not spam.
C. The number(or fraction) of eamils correctly classified as spam/not spam.
D. None of the above–this is not a machine learning problem
A 是任务T B是经验E C是度量P D雀氏一眼错啊
最常用的监督学习与无监督学习
Reinforcement learning 强化学习
recommendersystems 推荐系统