Informatics 2B - Learning: Drop-in Labs

Note:

Demonstrator: Andreas Kapourani (Weeks 1-7), Heru Praptono (Weeks 8-11)

  1. Week 01 (19 Jan.): Introduction to Matlab. Lab 1 Part 1 and Part 2
  2. Week 02 (26 Jan.): Similarity and recommender systems. Lab 2, and data.txt
  3. Week 03 (02 Feb.): K-means clustering and PCA. Lab 3, and data sets: faithful.txt, iris.txt
  4. Week 04 (09 Feb.): K-NN classification. Lab 4 and [lemon-orange.txt]
  5. Week 05 (16 Feb.): Statistical pattern recognition. Lab 5 and [fish.txt]
  6. Week 06 (02 Mar.): Naive Bayes and Introduction to Gaussians. Lab 6
  7. Week 07 (09 Mar.): Classification with Gaussians. Lab 7
  8. Week 08 (16 Mar.): CW2 drop-in lab
  9. Week 09 (23 Mar.): CW2 drop-in lab
  10. Week 10: CW2 drop-in labs: Tue 27, Thu 29 March at 14:10-15:00 (AT-4.12), Fri 30 at 14:10-15:00 (AT-5.05)
  11. Week 11: CW2 drop-in labs: Mon 02, Tue 03, Thu 05 Apr. at 14:10-15:00 (AT-5.03), Fri 06 Apr. at 11:10-12:00 (AT-5.04)


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