Machine Learning Course Notes (1)

Machine Learning Course Notes

——Wu Enda Machine Learning Course Notes

Link: Andrew Ng Machine Learning (YouTube)

first lesson

Supervised Learning:

example:

1. regression problem
   
2. classification problem
   
   

definition:

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

definition:

classify different types automatically according to the given data.

Second lesson

Linear Regression

supervised learning — regression

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

Lesson Three

Gradient Descent

Function:

minimize the cost function J — general measure

Theory:

find out the local minimum

example:

Combination — linear regression algorithm: