机器学习课程笔记（一）

机器学习课程笔记

——吴恩达机器学习课程笔记

链接：吴恩达机器学习（YouTube）

第一课

Supervised Learning:

example:

1. regression problem
   
2. classification problem
   
   

defination:

give out the right answer according to the given data and the given right answer.

• Regression: predict continuous valued output
• Classification: discrete valued output(0 or 1…)

Unsupervised Learning:

example:

cluster algorithm

defination:

classify different types automatically according to the given data.

第二课

Linear Regression

supervised learning — regression

1. question:
   
2. solution:
   
3. key:
   
4. simplify:
   
5. minimize:
   single:
   
   multiple:
   
   

第三课

Gradient Descent

Function:

minimize the cost function J — general measure

Theory:

find out the local minimum

example:

Combination — linear regression algorithm: