Are there any known approaches to computing machine learning?
I found out that it’s quite simple to teach derivation calculation, because it’s possible to implement an algorithm.
Meanwhile, the implementation of integration is possible, but rarely or never fully implemented due to the complexity of the algorithm.
I am curious if there are any academic successes in using machine learning science to evaluate and calculate integrals.
Edit
I am interested in teaching computer integration using neural networks or similar methods .
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