Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all related fields, but they have some key differences.
| Artificial Intelligence | Machine Learning | Artificial Intelligence |
| Design Algorithm that replicates human behavior | Train an algorithm to learn from experience | Use neural network like algorithms. Functional unit is neuron. |
| It is fields of science for engineering intelligent algorithms and devices | It helps in learning without explicitly being programmed | It helps in learning likes humans from vast amount of data. |
| chances of success is more important than accuracy | accuracy is more important than success. | accuracy is more important than success. Deep learning has maximum accuracy” |
In summary:
- AI is the broad field of simulation of human intelligence;
- ML is a subset of AI that enables machines to learn from data and improve performance;
- DL is a specific type of ML that uses neural networks with many layers (deep) to improve the performance in many specific tasks.
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