目录
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