Data Science at Home
Episodes
Monday Mar 14, 2016
Episode 10: History and applications of Deep Learning
Monday Mar 14, 2016
Monday Mar 14, 2016
What is deep learning?If you have no patience, deep learning is the result of training many layers of non-linear processing units for feature extraction and data transformation e.g. from pixel, to edges, to shapes, to object classification, to scene description, captioning, etc.
Wednesday Mar 02, 2016
Episode 9: Markov Chain Montecarlo with full conditionals
Wednesday Mar 02, 2016
Wednesday Mar 02, 2016
At some point, statistical problems need sampling. Sampling consists in generating observations from a specific distribution.
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