KwickClips Artificial Intelligence · 40 sec · free
When should you use rules?
Short answer. When the problem is clear and fixed.
When does learning fail?
With too little data.
Works and fails
| Model | Works | Fails |
|---|---|---|
| Rule-based | clear rules | new cases |
| Learning | complex data | little data |
Remember
| Clear and fixed: rules |
| Complex, lots of data: learn |
Rules or learning, which one should you use? It depends. Rules work for clear rules, but fail on new cases. Learning handles complex patterns, but fails with little data. Clear and fixed, use rules. Complex with lots of data, learn.
This clip is from the full lesson: Modelling: Rule-based vs Learning-based AI — 6 minutes, with the tables, the quick answers and the whole lesson in text.
Useful for: CBSE Class 9 Artificial Intelligence (417), CBSE Class 10 Artificial Intelligence (417)
More KwickClips from this lesson
Who writes the rules?39 sec
Can AI decide without rules?41 sec
Do you need code for Teachable Machine?42 secVoice-over is AI-generated; the script is written and checked by Kajal Ma'am. Confirm anything you plan around against your official board document. We never ask for a password or an OTP.