Artificial Intelligence (AI) and Machine Learning (ML) are often confused but represent different concepts. AI refers to machines designed to mimic human-like intelligence, performing tasks such as speech recognition or problem-solving. Conversely, ML is a subset of AI that enables machines to learn and improve from data, enhancing their decision-making abilities over time. In essence, while AI embodies the goal of creating intelligent machines, ML provides the techniques for achieving continuous learning and adaptation, just like how humans gain skills through experience.
AI is the big umbrella that covers anything trying to make machines act smart.
ML is the method machines use to get even smarter over time by learning from experience.
AI is the dream of building smart machines, while ML is the method that enables learning and improvement.
In short, AI is the broad concept, and ML is the specific technique within it.
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