【ML吴恩达】3 有监督学习和无监督学习
目录
Course 课程Machine learning with python
1 What is supervised learning ?
(1)we teach the model then with that knowledge.it can predict unkown or future instances
(2)Teaching the model with labeled data告诉模型数据和数据特征对应的标签
(3)有两种类型的监督学习-Classification and Regression
• Classification is the process of predict discrete class labels or categories
• Regerssion is the process of predicting continuous values
2 What is unsupervised learning?
(1)我们不用监督模型,让模型自己去挖掘特征和标签。The model works on its own to discover information .意味着无监督学习算法训练数据,然后得到一个未标签的数据。
(2)无监督学习技术
• Dimension reduction
• Density estimation发现数据结构
• Market basket analysis
• Clustering
3 What is clustering?
(1)Clustering is grouping of data points or objects that are somehow similar by
• Discover structure
• Summarization
• Anomaly detection