- 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
- 6 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 ?
喜好推荐 
（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
