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What is better to use for pattern recognition? Machine learning or neural networks?
Can someone explain the thread? Wikipedia has information that machine learning is a branch of the science of neural networks. That is, in fact, machine learning is the work with neural networks or not?
And what will be more efficient to use in pattern recognition tasks.
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Pattern recognition is one of the tasks of machine learning.
Neural networks are one of the machine learning technologies.
For the task of pattern recognition, in practice, just varieties of neural networks are mainly used, although it is theoretically possible to use something that is not reduced to neural networks.
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