comp90051-2017

View the Project on GitHub

Workshop Slides

for COMP90051 Statistical Machine Learning (2017 S2) - The University of Melbourne

I’ve created a dropbox folder and uploaded all files there. [dropbox link]

You can save them to your dropbox (~7MB), or download them in one zip file by “Download” -> “Direct download”. Download all files in one zip file.

Week Slides
2 2017S2_SML_Week02.pdf
2 2_bias_var_MSE_and_estimators.ipynb (view in html)
3 2017S2_SML_Week03.pdf
4 2017S2_SML_Week04.pdf
5 2017S2_SML_Week05.pdf
6 2017S2_SML_Week06.pdf
6 6_backprop.ipynb (view in html)
7 2017S2_SML_Week07.pdf
8 2017S2_SML_Week08.pdf
8 8_em_algorithm.ipynb (view in html)
8 8_em_algorithm_derivation.pdf
9 2017S2_SML_Week09.pdf
9 9_spectral_clustering.ipynb (view in html)
10 2017S2_SML_Week10.pdf
11 2017S2_SML_Week11.pdf
12 2017S2_SML_Week12.pdf

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