AI_Learning Methods IBM-AI_ML_DL-Video Florian-Dalwik_AI_ML_DL-Video
# AI, ML, D
| Shortterm | Longterm | Definition |
|---|---|---|
| AI | Artificial Intelligence | imitate human actions with machines - to solve problems |
| ML | Machine Learning | looks for predictions based on information (data) we have; the more data it has = better prediction |
| DL | Deep Learning | uses neural networks (works like human brain) - “deep” = multiple layers of neural networks; |
# AI
Is a superset of ML and DL. Includes
- NLP
- Vision (beeing able to see things)
- Text to speech
- Robotics
# ML
Subfield of AI.
Is an algorithm, that uses statistics & data to learn and predict something.
Categories
- Supervised Learning
- Classification
- Regression
- Unsupervised Learning
- Clustering
- Dimension Reduction
- Reinforcement Learning
# DL
Subfield of ML.
Neural Networks for representation of predictions.