Description
Artificial Intelligence (AI)
AI refers to the simulation of human intelligence in machines. These systems are designed to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and making decisions.
Machine Learning (ML)
ML is a subset of AI focused on creating systems that learn from data. Instead of being explicitly programmed, ML algorithms build models based on input data to make predictions or decisions.
Types of ML:
1. Supervised Learning: Uses labeled data to train models.
2. Unsupervised Learning: Finds patterns in unlabeled data.
3. Reinforcement Learning: Learns through rewards and penalties from interactions with an environment.
In essence, AI encompasses the broad goal of creating intelligent machines, while ML provides the techniques to achieve this by enabling systems to learn from data.
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