Class 01 - The Course at a Glance
Tomaso Poggio, MIT
9.520/6.860S Statistical Learning Theory and Applications
Class website: http://www.mit.edu/~9.520/fall17/
Видео Class 01 - The Course at a Glance канала MITCBMM
9.520/6.860S Statistical Learning Theory and Applications
Class website: http://www.mit.edu/~9.520/fall17/
Видео Class 01 - The Course at a Glance канала MITCBMM
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Adversarial examples and human-ML alignmentThe quest for provably efficient ML algorithmsGLMsingle: a toolbox for improving single-trial fMRI response estimatesRecurrent computations to the rescueA Conversation with Prof. Eric Shea-BrownNeural Data Analysis Tutorial - Part 231 - Resting State & InstaCorr: Part 2 of 2What are the computations underlying primate vs. machine vision?CBMM Undergraduate Summer Research Internships in Neuroscience 2016How does our brain learn new dance moves?Investigacion y Superandola AdversidadComputational models of cognition:Reverse-engineering common sense in the human mind and brain Pt 1Language & VisionReintegrating AI: Skills, Symbols, and the Sensorimotor DilemmaPanel Discussion: Hilbert questions in AIComputation and Learning with Assemblies of NeuronsHippocampal memory, cognition, and the role of sleep - part 2EAC Panel on AI and JobsThe Neural Circuits for Face RecognitionClustering and generalization of abstract structures in reinforcement learningUsing population decoding to understand neural content and coding