Statistical Learning

Statistical Learning

M. Gruber

WS 2017/18

Maschinenlernen ist mehr als das Laufenlassen von Softwarepaketen, bis sich ein erhofftes Ergebnis einstellt. Maschinenlernen hat eine Geschichte, ein statistisches Fundament, eine Theorie des Lernerfolgs und erfordert spezifische Kreativität. Diese Aspekte stehen im Mittelpunkt der Vorlesung.
KW Themen Notebooks Referenzen Praktikum
40 Neuronale Netze [pdf Rev.1] [AM] Lec 10, [Win] Lec 12A
R [Kab], [Wic],
RStudio, Rstudio Cheat Sheets
Iris-Daten [html] [Rmd]
Klassifikation mit neuralnet [html] [Rmd] [GF]
Perzeptron-Lern-Algorithmus (PLA) [Ric], [AM] Lec 1, [Roj96] 4
Pocket-Algorithmus [AM] Lec 2, [Roj96] 4.2.4
[html] [Rmd] P1
41 Statistical Learning [pdf Rev.1]
Lineare Regression [AM] Lec 3
Logistische Regression [pdf] [AM] Lec 9
42 Support Vector Machines [pdf] [AM] Lec 14,
[Rud] Lec 11, [BV04], [Rah10],
[Rud] Lec 12, [Win] Lec 16
Klassifikation mit svm{e1071} [html] [Rmd] Rev.1 [Mey]
P2
43 SVD und PCA [pdf Rev.1]
45 Der Kernel-Trick [pdf Rev.2] [Rud] P3
46 Statistisches Lernen (Übersicht) [pdf] [CCS]
Klassifikation mit randomForest [html] [LW02]
47 Random Forests [pdf Rev.1] [Bre01] [Bre] [CCS]
P4 Rev.1

References

[AM]
Yaser S. Abu-Mostafa. Learning from Data.
[Bre]
Leo Breiman. Manual on setting up, using, and understanding Random Forests V4.0.
[Bre01]
Leo Breiman. Random Forests. Mach. Learn., 45(1):5-32, October 2001.
[BV04]
Stephen Boyd and Lieven Vandenberghe. Convex Optimization. Cambridge University Press, New York, NY, USA, 2004.
[CCS]
Adele Cutler, David Richard Cutler, and John R Stevens. Random Forests. In Ensemble machine learning, pages 157-175. Springer US.
[GF]
Frauke Günther and Stefan Fritsch. neuralnet: Training of Neural Networks.
[Kab]
Rob Kabacoff. Quick-R.
[LW02]
Andy Liaw and Matthew Wiener. Classification and Regression by randomForest. R News, 2(3):18-22, 2002.
[Mey]
David Meyer. Support Vector Machines, the Interface to libsvm in package e1071.
[Rah10]
Sven Rahmann. Konvexe Optimierung. 2010.
[Ric]
Roland Richter. Der Perceptron-Algorithmus in 20 Minuten.
[Roj96]
Raul Rojas. Neural Networks - A Systematic Introduction. Springer, 1996.
[Rud]
Cynthia Rudin. Prediction: Machine Learning and Statistics.
[Wic]
Hadley Wickham. Advanced R.
[Win]
Patrick Henry Winston. Artificial Intelligence. MIT OCW 6.034.



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