What's the Difference Between AI, Machine Learning, and Deep Learning?
AI, Machine Learning (ML), and Deep Learning (DL) are often used interchangeably, but they’re not the same. Understanding how they differ is key to unlocking the full potential of intelligent solutions in retail and beyond.
| Key Aspect | AI | Machine Learning | Deep Learning |
|---|---|---|---|
|
Scope |
All intelligent systems | Data-driven learning | Neural networks (many layers) |
| Data Dependency | Not always | Essential | Critical (large datasets) |
| Feature Engineering | Manual or automated | Manual | Automated (hierarchical) |
| Model Complexity | Varies | Shallow to moderate | Deep (multi-layered) |
| Hardware Needs | Low–moderate | Moderate | High (GPUs/TPUs) |
| Example Algorithms | Rules, logic, search | Decision trees, SVM, k-means | CNN, RNN, transformers |
| Use Case Example | Chess, expert systems | Spam detection, credit scoring | Image recognition, translation |
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