TMA4268 Statistical learning: semester plan spring 2019

PART 1 (weeks 2-7)


Pl=plenary lecture, IL=interactive lecture, E=supervision of exercises
WeekModuleNameDatesTextbook chaptersModule page (html)(pdf)(Rmd)Short solutions to RC
2 M1: Introduction PL: Introduction 07.01.2019 at 08.15-10.00 in S4 1 1Intro.html 1Intro.pdf 1Intro.Rmd  
IL/E: R workshop 10.01.2019 at 14.15-18.00 in Smia 2.3

Rbeginner.html Rintermediate.html Rintermediate-sol.html

 Rbeginner.pdf Rintermediate.pdf Rintermediate-sol.pdf Rbeginner.Rmd Rintermediate.Rmd Rintermediate-sol.Rmd
3 M2: Statistical Learning PL: Part A: Core concepts in statistical learning 14.01.2019 at 08.15-10.00 in S4. 2 2StatLearn.html 2StatLearn.pdf 2StatLearn.Rmd 2RecEx-sol.html 2RecEx-sol.Rmd
IL: Part B: Multivariate random vectors, covariance matrices and the multivariate normal distribution 17.01.2019 at 14.15-16.00 in Smia
E: Recommended Exercises 17.01.2019 at 16.15-18.00 in Smia
4 M3: Linear Regression PL: Part A: Aim, simple linear regression, intro to multiple linear regression

21.01.2019 at 08.15-10.00 in S4.

 3 3LinReg.html 3LinReg.pdf 3LinReg.Rmd 3LinReg-sol.html 3LinReg-sol.Rmd
PL: Part B: Multiple linear regression (cont.). 24.01.2019 at 14.15-16.00 in F6.
E: Recommended Exercises 24.01.2019 at 16.15-18.00 in Smia
5 M4: Classification PL: Part A: Introduction, modelling class densities 28.01.2019 at 08.15-10.00 in S4 4 4Classif.html 4Classif.pdf 4Classif.Rmd 4Classif-sol.html 4Classif-sol.Rmd
PL: Part B: Focus on logistic regression, ROC, AUC 31.01.2019 at 14.15-16.00 in F6
E: Recommended Exercises 31.01.2019 at 16.15-18.00 in Smia
6 M5: Resampling. PL: Cross-validation and bootstrapping 04.02.2019 at 08.15-10.00 in S4 5 5Resample.html 5Resample.pdf 5Resample.Rmd 5Resample-sol.pdf
IL: Work RecEx and supervision of CompEx1 07.02.2019 at 14.15-16.00 in Smia
E: Work RecEx and supervision of CompEx1 07.02.2019 at 16.15-18.00 in Smia
7 M1-M5 Supervision and work with compulsory 1 11.02.2019 08.15-10.00 and 15.02.2019 14.15-18:00 in Smia 1-5 Go to "Compulsory exercises" to see the exercise. Join groups BEFORE handing in exercise.

PART 2: weeks 8-15


PL=plenary lecture, IL=interactive lecture, E=supervision of exercises

WeekModuleNameDatesTextbook chaptersModule page (html)(pdf)(Rmd)Short solutions to RC
8 M6: Linear Model Selection and Regularization. Lecturer: Thiago Martins PL: Part A 18.02.2019 at 08.15-10.00 in S4 6 6L1.html and 6L2.html 6L1.pdf and 6L2.pdf 6L1.Rmd and 6L2.Rmd solutions.Rmd and solutions.html
PL: Part B 21.02.2019 at 14.15-16.00 in F6
E: Recommended Exercises 21.02.2019 at 16.15-18.00 in Smia
9 M7: Moving beyond linearity. Lecturer: Andreas Strand PL: Regression and splines 25.02.2019 at 08.15-10.00 in S4 7 7.html 7.pdf and 7slides.pdf 7.Rmd 7sol.html 7sol.pdf
IL with recommended exercises 28.02.2019 at 14.15-16.00 in Smia
IL: Work RecEx and CompEx2 28.02.2019 at 16.15-18.00 in Smia
10 M8: Tree-based methods. PL: Growing decision trees and pruning 04.03.2019 at 08.15-10.00 in S4 8 8Trees.html 8Trees.pdf 8Trees.Rmd 8Trees-sol.html 8Trees-sol.Rmd
PL: Bagging, random forests, boosting 07.03.2019 at 14.15-16.00 in F6
E: Recommended Exercises 07.03.2019 at 16.15-18.00 in Smia
11 M9: Support vector machines. Lecturer: Mette Langaas PL: SVD 11.03.2019 at 08.15-10.00 in S4 9 9SVM.html 9SVM.pdf 9SVMBEAMER.pdf 9SVM.Rmd 9SVM-sol
IL: Recommended Exercises and Compulsory Exercise 2 14.03.2019 at 14.15-16.00 in Smia
E: Recommended Exercises 14.03.2019 at 16.15-18.00 in Smia
12 M10: Unsupervised methods. Lecturer: Thiago Martins PL: Part A 18.03.2019 at 08.15-10.00 in S4 10 L1.html with examples in 1lab1.html and 2nyt_stories.html L2.html with examples in 3lab2.html and 4lab3.html     10sol.Rmd and 10sol.html
PL: Part B 21.03.2019 at 14.15-16.00 in F6
E: Recommended Exercises and Compulsory exercise 2 21.03.2019 at 16.15-18.00 in Smia
13 M11: Neural networks. PL: Part A 25.03.2019 at 08.15-10.00 in S4 - 11Nnet.html 11Nnet.html 11Nnet.html 11Nnet-sol.html 11Nnet-sol.Rmd
PL: Part B 28.03.2019 at 14.15-16.00 in F6
E: Recommended Exercises and Compulsory 2 28.03.2019 at 16.16-18.00 in Smia
14 M6-11 Supervison of Compulsory exercise 2 01.04.2019 at 08.15-10.00 and 04.04.2019 at 14.15-18.00 in Smia 6-10 Go to "Compulsory exercises" to see the exercise. Join groups BEFORE handing in exercise.      
15 M12: Summing up and finishing Compulsory 2 PL: What have we learned and plans for the exam 08.04.2019 at 08.15-10.00 in S4 All 12Final.html 12Final.pdf 12FinalBEAMER.pdf 12Final.Rmd  
E: Compulsory exercise 2 11.04.2019 at 14.15-18.00 in Smia