2022 - Lectures about Machine Learning (G. Lombardo)
Lecture 1: Fundamentals of Machine Learning (Slides)
Lecture 2: Classification (Slides)
Lecture 3: Decision tree and Ensemble Learning (Slides)
Lecture 4: Lab 1 (Material and slides)
Lecture 5: An Introduction to Neural Networks (Slides)
Lecture 6: Lab 2 (Material and slides)
Lecture 7: Design principle in AI (slides)
Lecture 7 bis: Natural Language Processing (slides)
Lecture 8: Learning from sequences (slides)
Lecture 8 practice: Material for NLP, (slides)
Lecture 9: Convolutional Neural Network (slides)
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