Neuroscience vs. Neural Networks
Tim discusses the challenges in neuroscience with reductionist models, while Michael highlights the complexity of nonlinear systems. They contrast how neural networks process raw sensory data versus traditional models, shedding light on the limitations of each approach.In this clip
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Machine Learning Street Talk (MLST)
#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
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