Machine learning is just a subarea of artificial intelligence. The graphic visualizes how AI is trained by a trainer using objectives and training data. Neural networks form, patterns are recognized, and algorithms are defined. AI works based on these results. It analyzes the input data, processes them, and yields output data. AI also makes mistakes, and then the output data do not align with the desired result. This may be caused by mistakes in the training data or by imprecise objectives.
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