Metodi Quantitativi per l’Informatica a.a. 2016
An Introduction to Machine Learning
Below, you can find the original timetable of the course “Metodi Quantitativi per l’Informatica” (Introduction to Machine Learning) which was held in 2016. In the table, you can also find the slides (in English) which I personally prepared for the course (starting from the material presented in the book of Kevin Murphy).
| L# | Date | Topic | References | Slides |
| L1 | 4/10/2016 | Introduction – Part 1 | Kevin Murphy’s Book | lec1-part1 |
| L2 | 6/10/2016 | Introduction – Part 2 | Kevin Murphy’s Book | lec1-part2 |
| Es1 | 6/10/2016 | MATLAB – Introduction Part 1 | Getting started, Matrix operations | |
| L3 | 11/10/2016 | Basic Concepts | Kevin Murphy’s Book | lec2 |
| L4 | 13/10/2016 | Probability – Part 1 | Kevin Murphy’s Book | lec3-part1 |
| Es2 | 13/10/2016 | MATLAB Intro Part 2, Intro GIT, k-nearest neighbor | Functions, Simple Git guide, pmtk3 K-NN | |
| L5 | 18/10/2016 | Probability – Part 2 | Kevin Murphy’s Book | lec3-part2 |
| L6 | 20/10/2016 | Probability – Part 3 | Kevin Murphy’s Book | lec3-part3 |
| Es3 | 20/10/2016 | Exercises on KNN: use and comparison of train/validation set, CV, invariance to the permutations of the features | Kevin Murphy’s Book | |
| L7 | 25/10/2016 | Generative Models for Discrete Data – Part 1 | Kevin Murphy’s Book | lec4-part1 |
| L8 | 27/10/2016 | Generative Models for Discrete Data – Part 2 (1/2) | Kevin Murphy’s Book | lec4-part2 |
| Es4 | 27/10/2016 | MATLAB exercises on Linear, Polynomial, and Logistic Regression | Kevin Murphy’s Book | |
| L9 | 03/11/2016 | Generative Models for Discrete Data – Part 2 (2/2) | Kevin Murphy’s Book | lec4-part2 |
| Es5 | 03/11/2016 | Exercise on Dirichlet-Multinomial Posterior Predictive, review of KNN exercise using FLANN | Kevin Murphy’s Book, FLANN | |
| L10 | 08/11/2016 | Generative Models for Discrete Data – Part 3 (1/3) | Kevin Murphy’s Book | lec4-part3 |
| L11 | 10/11/2016 | Generative Models for Discrete Data – Part 3 (2/3) | Kevin Murphy’s Book | lec4-part3 |
| Es6 | 10/11/2016 | Naive Bayes classifier applied to text data (bag of words): Train, visualize class conditional densities and top N words (for both datasets) | Kevin Murphy’s Book | |
| L12 | 15/11/2016 | Generative Models for Discrete Data – Part 3 (3/3) | Kevin Murphy’s Book | lec4-part3 |
| L13 | 17/11/2016 | Gaussian Models – Part 1 | Kevin Murphy’s Book | lec5-part1 |
| Es7 | 17/11/2016 | Feature selection using mutual information. Bag of words exercises with feature selection. | Kevin Murphy’s Book | |
| L14 | 22/11/2016 | Gaussian Models – Part 2 (1/2) | Kevin Murphy’s Book | lec5-part2 |
| L15 | 24/11/2016 | Gaussian Models – Part 2 (2/2) | Kevin Murphy’s Book | lec5-part2 |
| Es8 | 24/11/2016 | Exercise on Naive Bayes Posterior Predictive | Kevin Murphy’s Book | |
| L16 | 28/11/2016 | Linear Regression – Part 1 | Kevin Murphy’s Book | lec6 |
| L17 | 1/12/2016 | Linear Regression – Part 2 | Kevin Murphy’s Book | lec6 |
| Es9 | 1/12/2016 | Gaussian Ellipses and Ellipsoids | Kevin Murphy’s Book | |
| L18 | 6/12/2016 | Logistic Regression | Kevin Murphy’s Book | lec7 |
| L19 | 13/12/2016 | Principal Component Analysis | Kevin Murphy’s Book | lec8 |
| L20 | 15/12/2016 | Kernel Methods | Kevin Murphy’s Book | lec9 |
| Es10 | 15/12/2016 | Support Vector Machine (SVM): A Practical Guide | A Practical Guide to Support Vector Classification | |
| L21 | 20/12/2016 | Gaussian Processes |
Kevin Murphy’s Book
|
lec10 |