Neural Network Approximation
Tim and Alex discuss the challenges of fitting neural networks into fixed matrix spaces and the complexities that arise due to irregular underlying spaces. Keith warns against relying on black box reasoning machines that may lose their ability to truly reason as they become more complex and provide instantaneous answers.In this clip
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Machine Learning Street Talk (MLST)
Computation, Bayesian Model Selection, Interactive Articles
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