Discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms.
Covers advanced deep learning topics used for learning to learn, including: automated machine learning, meta-learning, deep learning on graphs, transformers, knowledge graphs, symbolic regression, program induction, Bayesian learning, and deep reinforcement learning.
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