目录

• 1 What is machine learning?
• 2 How machine learning works ?
• 3 Examples of machine learning
• 4 Major machine learning techniques
• 5 Difference between artificial intelligence ,Machine learing ,and deep learning
• 5 Let’s get started with machine learning

Course 课程Machine learning with python

1 What is machine learning?

Mechaine learning is the subfiedl of computer scicence that gives “ computer the ability to learn without being explicityly programmed”— Arthur Samuel

2 How machine learning works ?

3 Examples of machine learning

喜好推荐

4 Major machine learning techniques

（1）tegression/Estimation

• Predicting continuous values

（2）Classification\

• Predicting the item class/category of a case

（3）Clustering

• Finding the structure of data;summarization

（4）Associations

• Associaing frequent co-occurring items /events.比如纸尿裤和啤酒的关系

（5）Anomaly detection

• Discovering abnormal and unusual cases

（6）Sequence mining

• Predicting next events ;click-stream(Markov Model,HMM)

（7）Dimension Reduction

• Reducing the size of data(PCA)

（8）Recommendation systems

• Recommending items和人喜好相关

5 Difference between artificial intelligence ,Machine learing ,and deep learning

（1）AI components

• Computer Vision
• Language Processing
• Creativity
• Etc.

（2）Machine learning
是AI的一个分支，包含人工智能的统计。通过学习大数据去做一个新Solution中的相似的problem。

• Classification
• Clustering
• Etc.

（3）Revolution in ML
学习并且自己做出智能的决定

• Deep learning

总之，相比较于机器学习算法，深度学习包含了自动化更深的层次水平。

5 Let’s get started with machine learning

（1）Machine learning application
（2）Machine learning algorithms

• 有监督、无监督学习
• 模型评估和各种机器学习算法