【ML吴恩达】1机器学习和深度学习和AI的区别

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。

6 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