- Should be expected by now average expert of machine learning
- Know truly what algorithm for each problem

- What to do when the result is largely different from the actual output
- Prioritize small subset of feature, more impotance ones
- lambda(regularization parameters)
- Unfortunately, most common are choosing by instinct, not by science
- Choosing which avenues by these simple method
- These techniques will part the correct way from the rest of the avenues
- Next two videos, evaluate learning algorithm, and next discuss about this technique

- Insight from the test of which promising way to try
- Diagnostic can be time consuming, but still worthed compared to spend many months only to find out that the avenues that we choose is wrong

- Next try few things to improve machine learning system