AI systems are created by computer programmers and software developers who use tools like ML, deep learning, neural networks, computer vision, and natural language processing to help computers analyze data and solve problems. ML is based on the idea that machines can learn and adapt through experience, and it allows computer systems to continue learning and improving on their own.
For example, neural networks, which are a series of algorithms modeled after the human brain, can help in training computers to mimic human reasoning. Deep learning is a subset of ML that uses multiple layers within neural networks to perform some of the most complex ML tasks without human intervention.
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