【陆勤读书】要点摘录(一)
陆勤读书:《Machine Learning With R》
1 机器学习
Tom M. Mitchell
A machine is said to learn if it is able to take experience and utilize it such that its performance improves up on similar experiences in the future.
2 机器学习算法
A machine learning algorithm takes data and identifies patterns that can be used for action.
3 机器学习与数据挖掘
machine learning tends to be focused on performing a known task, whereas data mining is about the search for hidden nuggest of information.
for instance you might use machine learning to teach a robot to drive a car, whereas you would utilize data mining to learn what type of cars are the safest.
4 学习过程
5 Problem set
1)你怎么看机器学习和数据挖掘?
2)你用那些机器学习算法?
3)你用那些数据挖掘算法?
4)机器学习与数据挖掘有什么关联和异同?
欢迎给小编(luqin360)留言或者投稿。
请关注“恒诺新知”微信公众号,感谢“R语言“,”数据那些事儿“,”老俊俊的生信笔记“,”冷🈚️思“,“珞珈R”,“生信星球”的支持!