1. Machine Learning (ML) - Machine Learning is the core of AI. It’s the process where computers learn patterns from data instead of being explicitly programmed.
2. Deep Learning - Deep Learning is a powerful subset of ML that uses neural networks with many layers. These networks learn complex patterns like faces, speech, and language.
3. Natural Language Processing (NLP) - NLP helps computers understand and generate human language.
4. Computer Vision - This is the ability of AI to understand images and videos—identifying objects, people, movements, and even emotions.
5. Reinforcement Learning - Reinforcement Learning (RL) teaches AI through trial and error. The system learns by receiving rewards or penalties based on its actions.
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