Machine Learning


Bachelor: 2h/week course and 2h/week laboratory, Summer semester
Lecturer: Sorin Grigorescu
Laboratory: Cosmin Ginerica, Bogdan Trasnea
Language: Romanian

Laboratory work

Lab Description Lab Materials Source Code Training Data
1 Python introduction details
2 Linear algebra in Python details
3 Linear regression details ex3x.txt, ex3y.txt
4 Logistic regression details,, ex4x.txt, ex4y.txt
5 Naive Bayes Classifier details test-features-full.txt test-labels.txt train-features-full.txt train-labels.txt
6 Neural Networks: Representation details
7 Neural Networks: Training details nand_sum.txt, nand_sum_test.txt
8 Convolutional Neural Networks details
9 Clustering details lab9-data.txt, lab9-data-test.txt
10 Principal Component Analysis details


Written and practical exam at the end of the semester.