Index of /class/archive/cs/cs109/cs109.1196/lectures

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[   ]28 - BeyondCS109.pdf2019-06-08 18:08 5.8M 
[   ]27 - Overview.pdf2019-06-03 20:54 1.6M 
[   ]26 - DeepLearning.pdf2019-05-31 10:15 13M 
[   ]25 - LogisticRegression.pdf2019-03-31 05:20 16M 
[   ]24 - NaiveBayes.pdf2019-03-31 05:20 7.9M 
[   ]23 - MAP.pdf2019-03-31 05:20 7.5M 
[   ]22 - GradientAscent.pdf2019-03-31 05:20 3.7M 
[   ]21 - MLE.pdf2019-05-17 09:51 7.8M 
[   ]20 - GeneralInference.pdf2019-05-15 10:19 12M 
[   ]19 - Samples.pdf2019-05-13 12:18 5.4M 
[   ]18 - CLT.pdf2019-03-31 05:20 2.8M 
[   ]17 - Beta.pdf2019-05-08 10:24 5.6M 
[   ]16 - GreatExpectations.pdf2019-05-06 10:09 5.8M 
[   ]15 - Covariance.pdf2019-05-03 10:22 22M 
[   ]14 - JointProperties.pdf2019-05-03 10:22 6.2M 
[   ]13 - ConditionalJoints.pdf2019-05-03 10:22 4.7M 
[   ]12 - ContinuousJoint.pdf2019-04-26 10:16 4.2M 
[   ]11 - Joint.pdf2019-03-31 05:20 3.5M 
[   ]10 - Normal.pdf2019-04-22 10:16 9.9M 
[   ]9 - Continuous.pdf2019-04-19 10:15 9.3M 
[   ]8 - Poisson.pdf2019-04-17 13:50 5.2M 
[   ]7 - Variance.pdf2019-04-15 10:31 4.2M 
[   ]6 - RandomVariables.pdf2019-04-12 12:34 4.7M 
[   ]5 - Independence.pdf2019-04-10 10:15 7.0M 
[   ]4 - ConditionalProbability.pdf2019-04-08 10:30 5.5M 
[   ]3 - IntroProbability.pdf2019-04-05 09:03 3.6M 
[   ]2 - Combinatorics.pdf2019-04-03 12:49 7.2M 
[   ]1 - Welcome.pdf2019-04-03 13:18 16M