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Machine Learning

Statistical Learning Theory and Applications

Computational Functional Genomics

Alon Baram & Laurie Bayet: Learning to Recognize Digits and Faces from Few Examples

Statistical Learning Theory and Applications

Lecture 0: Tomaso Poggio - Introduction to Brains, Minds, & Machines

Lecture 35: Finding Clusters in Graphs

Topics in Statistics: Statistical Learning Theory

Lecture 3.5: Josh Tenenbaum - The Child as Scientist

David Rolnick & Ishita Dasgupta: Modeling Dynamic Memory with Hopfield Networks

Techniques in Artificial Intelligence (SMA 5504)

Tutorial 1: Leyla Isik - Introduction to Visual Neuroscience

Algorithmic Aspects of Machine Learning

Mathematics of Big Data and Machine Learning

15.1 Lecture Overview

Video 1: Introduction to The Analytics Edge

Lecture 1.3: James DiCarlo - Neural Mechanisms of Recognition Part 1