Introduction to ML

1.definition of ML

the design and development of algorithms that allow computers to evolve behaviors based on empirical data

2.application

computer vision(数码相机中的人脸识别)、speech recognition(科大讯飞、百度语音输入法) 、NLP(Machine translation、information extraction、information retrieval)、Web search、recommendation(亚马逊推荐系统)、robotics(无人汽车)、Question Answering

3.paradigms of ML

Supervised learning ： Given{xi，yi} ， learn y=f(x；θ)

Unsupervised learning：Given{xi}，learn y = f(x；θ)

4.Three elements of ML

1.data 2.model    3.algorithm

which one is more important?

需求最重要，也就是市场前景