Difference between machine learning and artificial intelligence

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Machine learning is a subset of artificial intelligence that focuses on algorithms and statistical models to enable computers to learn and make decisions.

Artificial intelligence is a broad field that aims to create intelligent machines that can mimic human behavior and perform tasks that typically require human intelligence.
Machine learning is a subset of artificial intelligence that focuses on developing algorithms and statistical models that allow computers to learn from data and make predictions or decisions without being explicitly programmed.
Artificial intelligence can involve various techniques like natural language processing, computer vision, and expert systems, while machine learning primarily relies on statistical analysis and pattern recognition.
Machine learning algorithms can be categorized into supervised learning, unsupervised learning, and reinforcement learning, each serving different purposes.
An example of artificial intelligence is a chatbot that can understand and respond to human language, while an example of machine learning is a spam email filter that learns to classify emails as spam or not based on user feedback.

Difference between machine learning and artificial intelligence

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