Machine Learning seminars at the Cambridge University Engineering Department

Machine Learning seminars at the Cambridge University Engineering Department

4 Videos · Mar 3, 2008

About

Machine Learning is a multidisciplinary field which aims to understand and design algorithms that automatically extract useful information from data. Since real world data are typically noisy, ambiguous and occasionally erroneous, a central requirement of a learning system is that it must be able to handle uncertainty. Probability theory provides an ideal basis for representing and manipulating uncertain knowledge, so many successful algorithms in machine learning are based on probabilistic i.e. Bayesian inference. Bayesian inference provides a principled framework for machine learning, but exact inference is often intractable, so most algorithms rely on approximations such as variational methods or Markov chain Monte Carlo.

More > http://talks.cam.ac.uk/show/archive/9091

Videos

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01:53:15

Group Theory and Machine Learning

Risi Kondor

Mar 3, 2008

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35568 views

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50:28

Spectral Clustering

Arik Azran

Mar 3, 2008

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36059 views

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01:20:04

Machine Learning Applications / Challenges in Natural Language Parsing

Ted Briscoe

Mar 29, 2009

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4683 views

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01:42:40

Prequential Statistics

Phil Dawid

Mar 29, 2009

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4338 views