Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are closely related technologies, but each has a different role in how machines learn and make decisions. AI is the broader concept of creating smart systems, ML focuses on learning from data, and DL uses advanced neural networks for more complex tasks. Understanding their differences helps you know how modern intelligent systems really work.
Difference
| Sr. No. | Key Point | AI | ML | DL |
|---|---|---|---|---|
| 1. | Full Form | Artificial Intelligence | Machine Learning | Deep Learning |
| 2. | Definition | AI is a concept of data science that enables machines to simulate human intelligence. | ML is subset of AI that enables machines to learn from data and make predictions. | DL is a subset of ML that is based on neural network, that mimic how human brain works. |
| 3. | Example | chatbot, self driving car, robots, etc. | voice assistance, recommendation system, fraud detection, email filtering, Natural Language Processing(NLP). | Image recognition, speech recognition, NLP, etc. |
| 4. | Data | Depends on structured and unstructured data. | Depends on labeled and unlabeled data. | Depends on large amount of labeled data. |
| 5. | Algorithm & Techniques | Rule Based System, Fuzzy Logic, Genetic algorithm, Search algorithm. | Regression, SVM, K-Means, Q-Learning, Design Tree. | CNN, RNN, GAN, Autoencodes, Transformers. |
| 6. | Data | Works with less amount of data | Works with moderate amount of data | Works with large amount of labeled data. |
| 7. | Types | Narrow AI, General AI, Super AI, Limited Memory, Reactive Machine, Theory Of Mind. | Supervised Learning, Unsupervised Learning, Reinforcement Learning. | Recurrent Neural Network, Recursive Neural Network, Convolutional Neural Network. |
| 8. | Objective | AI refers to to broad concept of computer science (ML+DL) simulation of human intelligence. | ML is subset of AI. Learn from data and pattern and make decision and predecisions. | DL is subset of ML analyzed complex using multilayered neural network. |
| 9. | Scalability (Data) | Limited scalability for complex task. | Moderate Scalability with increasing data. | Highly Scalable. |
| 10. | Accuracy | Less | Higher Then AI | Very High |