Labs and problems


This page will contain information about lab assignments, and problems for the labs/problems sessions.All groups should bring the group_sheet.pdf with their names and pictures for the first lab session.
 

Problem Session 0 - Basic concepts of probabilities and statistics (26/09/2016 to 30/09/2016)
prob0.pdf

Problem Session 1 - Modelling. The gradient method (3/10/2016 to 7/10/2016)
prob1.pdf

Lab Session 1 - Function Optimization – The Gradient Descent Method(10/10/2016 to 14/10/2016)
lab1.pdf mfiles1.zip

Problem Session 2 - MultiLayer Perceptrons (17/10/2016 to 21/10/2016)
prob2-MLP.pdf

Lab Session 2 - MultiLayer Perceptrons (24/10/2016 to 28/10/2016)
lab2.pdf mfiles2.zip
A student (Rui Figueiredo) has informed us that the graphical user interface of the neural_gui software doesn't work properly on MAC computers, and provided a corrected version: mfiles2_mac.zip. We thank the student for this. Please note that we were not able to test this software.

Problem Session 3 - Bayes Classifier and SVM 
(31/10/2016 to 04/11/2016)
prob3.pdf

Lab Session 3 - Naive Bayes (07/11/2016 to 11/11/2016)
lab3.pdf mfiles3.zip

Problem session 4 - SVM and Decision Trees(14/11/2016 to 18/11/2016)
prob4.pdf

Lab Session 4 - SVM (21/11/2016 to 25/11/2016)
lab4.pdf mfiles4.zip

Problem session 5 - EM and  Kmeans (28/11/2016 to 2/12/2016)
prob5-KMeans-EM.pdf

Lab Session 5 - k-means and EM  (4/12/2016 to 9/11/2016)
lab05.pdf mfiles5.zip

Problem session 6 - PCA (12/12/2016 to 15/12/2016)
prob6-PCA.pdf

Lab Session 6 - PCA (16/12/2016 to 21/12/2016)