What is the difference between AI and ML?
AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines. ML, or Machine Learning, is a subset of AI that focuses on the ability of machines to learn from data.
Can you give me an example of AI and ML?
Sure! An example of AI is a virtual assistant like Siri, while an example of ML is a recommendation system that suggests movies based on your viewing history.
Are all AI systems based on machine learning?
Not all AI systems use machine learning. Some AI systems are rule-based and do not learn from data, while others, like ML systems, improve over time through experience.
How does machine learning improve over time?
Machine learning improves by analyzing new data and adjusting its algorithms to enhance accuracy and performance based on that data.
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