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Deep learning deals with deep and complex architectures (Bengio 2009; Schmidhuber 2015).
Reinforcement learning deals with the problem of making an agent learn a behavior by interacting with the environment.
What have you learned dealing with prisoners and going into prisons?
Obviously this isn't true in reality and reinforcement learning deals with systems that are stateful.
But learning to deal without toilet paper?
I'm slowly learning to deal with my sensitivity.
It was a matter of learning to deal in nuance.
Learning to deal with the hard stuff takes practice.
Web-based Intelligent Systems (WBIS), e.g. information retrieval, intelligent Web, and e-Learning, deal with tasks such as acquisition, representation, and management of knowledge about users.
"I've learned to deal with it".
But you learn to deal with it".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com