machine learning note1

• supervised learning
• requirement
• it must have the target/answer in it's training phase
• using training phase to build up the 
• using test phase to predict the next value 
• regression
• find the next value based on it's regression times, such as the temperature value in tomorrow, stock price in next open time....
• example
• 
  
• classification
• find the next classification value based on it's regression times, such as the it will rain or not tomorrow?, stock price will go up or down?... 
• example
•  
• non-supervised learning
• cluster
• definition
• http://en.wikipedia.org/wiki/Machine_learninghttp://www.gnu.org/software/octave/

https://class.coursera.org/ml-003/lecture/5
https://sites.google.com/site/octavetech/home