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courses:ct50aj100:start [2011/01/07 11:18]
kyrki created
courses:ct50aj100:start [2011/09/02 12:04] (current)
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 ====== Statistical machine learning ====== ====== Statistical machine learning ======
 +
 +===== Topics =====
 +
 +  - [[courses:​ct50aj100:​introduction|Introduction]]
 +    * Ville
 +  - [[courses:​ct50aj100:​distributions|Distributions]]
 +    * Ville
 +  - [[courses:​ct50aj100:​linearregression|Linear regression]]
 +    * Ville
 +  - [[courses:​ct50aj100:​linearclassification|Linear models for classification]]
 +    * Ville
 +  - [[courses:​ct50aj100:​gaussianprocesses|Gaussian processes for regression]]
 +    * Isambi
 +  - [[courses:​ct50aj100:​gpclassification|Gaussian processes for classification]]
 +    * Zubeda
 +  - [[courses:​ct50aj100:​rvm|Relevance vector machines]]
 +    * Jukka
 +  - [[courses:​ct50aj100:​bayesnets|Bayes networks]]
 +    * Natalia
 +  - [[courses:​ct50aj100:​bninference|BN Inference]]
 +    * Janne
 +  - [[courses:​ct50aj100:​apprinference|BN Approximate inference]]
 +    * Idrissa
 +  - [[courses:​ct50aj100:​contlatent|Continuous latent variables]]
 +    * Adam
 +
 +===== Seminar lectures and exercises =====
 +
 +Each student leads the discussion on a single topic. Be prepared to give a 60 minute lecture/​seminar presentation and spend 30 minutes for discussion and questions.
 +
 +Give your slides to Ville before the lecture so that they can be made available to others.
 +
 +Prepare also 1-3 exercise tasks for other students as well as model solutions to them. These tasks should give some hands on experience of the machine learning approach in question. ​
 +
 +If you need any material, hints, or help in preparing the presentation or the exercise tasks, please contact Ville as early as possible.