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cs401r_w2016 [2015/12/29 16:27]
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cs401r_w2016 [2021/06/30 23:42] (current)
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 [[cs401r_w2016:​lab_notes|General notes on ipython and seaborn]] [[cs401r_w2016:​lab_notes|General notes on ipython and seaborn]]
  
-[[cs401r_w2016:​lab1|Lab 1 - install anaconda]]+[[cs401r_w2016:​lab1|Lab 1 - Anaconda and pandas]]
  
 [[cs401r_w2016:​lab2|Lab 2 - Bayesian concept learning]] [[cs401r_w2016:​lab2|Lab 2 - Bayesian concept learning]]
  
-[[cs401r_w2016:​lab3|Lab 3 - basic PDF library]]+[[cs401r_w2016:​lab5|Lab 3 - MNIST with KDE]]
  
 [[cs401r_w2016:​lab4|Lab 4 - Gaussian process regression]] [[cs401r_w2016:​lab4|Lab 4 - Gaussian process regression]]
  
-[[cs401r_w2016:​lab5|Lab 5 - MNIST with KDE]]+[[cs401r_w2016:​lab14|Lab 5 - Large-scale Gaussian process regression]]
  
-[[cs401r_w2016:​lab6|Lab 6 - ???]]+[[cs401r_w2016:​lab13|Lab 6 - Expectation maximization]]
  
 [[cs401r_w2016:​lab7|Lab 7 - Kalman filter]] [[cs401r_w2016:​lab7|Lab 7 - Kalman filter]]
  
-[[cs401r_w2016:​lab8|Lab 8 - localization ​with particle filters]]+[[cs401r_w2016:​lab8|Lab 8 - Localization ​with particle filters]]
  
-[[cs401r_w2016:​lab9|Lab 9 - LDA, wikipedia, and Gibbs sampling]]+[[cs401r_w2016:​lab9|Lab 9 - LDA, General Conference, and Gibbs sampling]]
  
-[[cs401r_w2016:​lab10|Lab 10 - improved generative images with MCMC]]+[[cs401r_w2016:​lab10|Lab 10 - Metropolis Hastings and Hamiltonian ​MCMC]]
  
-[[cs401r_w2016:​lab11|Lab 11 - Bayesian super resolution]]+[[cs401r_w2016:​lab12|Lab 11 - Recommender system]]
  
-[[cs401r_w2016:​lab12|Lab 12 weather data with BP]]+[[cs401r_w2016:​fp|Final project]] 
 + 
 +---------------- 
 + 
 +Old labs we probably won't use 
 + 
 +[[cs401r_w2016:​lab3|Lab 3 - basic PDF library]] 
 + 
 +[[cs401r_w2016:​lab11|Lab 11 Bayesian super resolution]]
  
-[[cs401r_w2016:​lab13|Lab 13 - recommender system]] 
  
cs401r_w2016.1451406431.txt.gz · Last modified: 2021/06/30 23:40 (external edit)