The 4 Factors of Machine Learning

The 4 factors of machine learning:

1) Are there training data?
2) Should training data be generated, all or more?
3) Are there formula to check output?
4) Should output be checked in virtual(bot)/real(robot) environment?

For Supervised Learning (SL):
1) Yes
2) No
3) No
4) No

For Unsupervised Learning (UL):
1) No
2) Yes
3) Yes
4) No

For Reinforcement Learning (RL):
1) No
2) Yes
3) No
4) Yes

Summary:

With training data --> Supervised Learning
No training data, generate them, then:

• Check output using formula --> Unsupervised Learning
• Check output using environment --> Reinforcement Learning

Any of the 3 above with more data added to train --> Incremental Learning.