Recommended videolectures selected by EDSA. The videolectures are from world-renowned experts on data science related topics. Click on the image or the titles to view the videolecture on videolectures.net.
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Dr. Marc Mézard – Data science and the curse of phase transitions
Dr. Johannes Balle – Density Modeling of Images Using a Generalized Normalization Tansformation
Professor Filip Ilievski – LOTUS: Adaptive Text Search for Big Linked Data
Professor Nando de Freitas – Learning to Learn and Compositionality with Deep Recurrent Neural Networks
Dr. Andrei Broder – Is Deep Learning the New 42?
Professor Jose Bento Ayres Pereira – Learning Networks of Stochastic Differential Equations
Dr. Graham Taylor – Learning Multi-Scale Temporal Dynamics with Recurrent Neural Networks
Dr. Ludovica Bachschmid-Romano – Inference in Kinetic Ising Models: Mean-Field and Bayes Estimators
Professor Andrea Montanari – Information-Theoretic Bounds on Learning Network Dynamics
Professor Yann LeCun – It´s Learning All the Way Down
Professor David Lowe – Borrowing New Ideas from Human Vision
Professor Stephen P. Boyd – Convex Optimization with Abstract Linear Operators