Machine Learning(Stanford)-1 Introduction

1-2 Machine Learning definition

• Tom Mitchell(1998) Well-posed Learning
  Promblem: A computer program is said to learn from experience E with respect to some task T and some performance on T, as measured by P, improves with experience E.
  mynote: E:experience(to do something). T:task. P: probability to win.
  

Machine learning algorithms:

• Supervised learning
• Unsupervised learning
  Others: Reinforcement learning, recommender systems.

1-3 Supervised Learning

The term supervised learning refers to the fact that we gave the algorithm a data set in which the “right answers” were given. The toss of the algorithm was to just produce more of these right answers.
- regression problem: means to predict a continuous value output.
- classification problem: means to predict a discrete value output