Machine learning
π‘ About
Hello and welcome to the ML! π My hope with this page is to provide you with useful resources (including personal notes and solutions) that should hopefully help you to get the most out of this course.
NB: This is my own initiative and thus the most of the provided solutions should NOT be considered as part of the official course. With that being said, I promise to do my best in order to ensure correctness of the provided solutions.
π§° Important practical information
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Exercises time and place:
room 4A58, Tuesday & Friday @ 12 to 14
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Contact: luci@itu.dk
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Course manager: Therese Graversen
π Course materials
My notes to the whole course can be found here. Note that they might need some update since this yearβs version of ML is bit different from the last years. (at leas the first few weeks) Solutions with detailed comment for each exercise session can be found below:
Date | Lecture | Solution |
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30. 08. 2022 | 01: Python exercises | π |
02. 09. 2022 | 02: Linear regression - intro | π |
05. 09. 2022 | 03: Linear regression - inspecting models closely | π |
08. 09. 2022 | 04: Linear regression - optional exercises | π |
13. 09. 2022 | 05: Linear regression - data splits, reguralization | π |
16. 09. 2022 | 06: Logistic regression - introduction | π |
20. 09. 2022 | 07: KNN and softmax regression | π |
23. 09. 2022 | 08: Decision theory π€― | π |
27. 09. 2022 | 09: LDA and QDA one feature π§ | π |
30. 09. 2022 | 10: LDA and QDA multiple features π€© | π |
04. 10. 2022 | 11: Classification metrics π€ | π |
07. 10. 2022 | 12: Decision trees π³ | π |
11. 10. 2022 | 13: Ensemble methods intro π²π³π²π³π² | π |
14. 10. 2022 | 14: Ensemble methods continuation π²π³π²π³π² | π | 25. 10. 2022 | 15: Hard margin SVM π | π |
28. 10. 2022 | 16: Soft margin SVM π | π |
01. 11. 2022 | 17: Gradient descent πͺ | π |
04. 11. 2022 | 18: Feed forward neural network - intro π | π |
08. 11. 2022 | 19: FFNN implementation from scratch and intro to PyTorch π | π |
11. 11. 2022 | 20: CNN theory and simple practical example π€ | π |
15. 11. 2022 | 21: Naive Bayes π» | π |
22. 11. 2022 | 23: Clustering π₯³ | π |