Index of /class/archive/cs/cs109/cs109.1182/lectures

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[   ]1 Welcome.pdf2017-09-25 14:16 37M 
[   ]3 IntroProbability.pdf2017-09-29 15:04 11M 
[   ]4 CondProbability.pdf2017-10-02 14:31 22M 
[   ]5 Independence.pdf2017-10-04 14:44 28M 
[   ]6 RandomVariables.pdf2017-10-06 14:39 19M 
[   ]7 Variance.pdf2017-10-09 14:51 17M 
[   ]8 Poisson.pdf2017-10-11 14:54 16M 
[   ]9 Continuous.pdf2017-10-16 14:39 17M 
[   ]10 Gaussian.pdf2017-10-16 14:42 14M 
[   ]11 Joint.pdf2017-10-18 21:49 15M 
[   ]12 ContJoint.pdf2017-10-20 15:16 7.1M 
[   ]13 PropertiesOfJoints.pdf2017-10-23 15:08 21M 
[   ]14 PropertiesOfJoints2.pdf2017-10-25 15:19 24M 
[   ]15 Convolution.pdf2017-10-27 13:46 3.1M 
[   ]16 Beta.pdf2017-10-31 00:33 10M 
[   ]17 GreatExpectations.pdf2017-11-01 15:18 14M 
[   ]18 Covariance.pdf2017-11-03 15:21 4.6M 
[   ]19 Samples.pdf2017-11-06 14:57 6.2M 
[   ]20 CLT.pdf2017-11-08 14:55 8.4M 
[   ]21 MaximumLikelihood.pdf2017-11-10 14:21 27M 
[   ]22 GradientAscent.pdf2017-11-13 15:00 9.8M 
[   ]23 MAP.pdf2017-11-15 16:41 20M 
[   ]23 MAP.pptx2017-11-15 15:25 42M 
[   ]24 NaiveBayes.pdf2017-11-17 14:15 36M 
[   ]25 LogisticRegression.pdf2017-11-27 15:15 16M 
[   ]26 DeepLearning.pdf2017-11-29 14:31 32M 
[   ]27 DeepLearningII.pdf2017-12-01 15:16 42M 
[   ]28 FinalReview.pdf2017-12-06 17:26 931K 
[   ]29 Montage.pdf2017-12-06 17:26 88M