{{page>:defs}} ====== Course of supervised Regression et Classification ====== If you want a shorter address for this page, you can just type: https://link.infini.fr/emines2025 . **Instructors**: * Randal DOUC ([[randal.douc@telecom-sudparis.eu|randal.douc@telecom-sudparis.eu]]) * François BERTHOLOM ([[francois.bertholom@telecom-sudparis.eu|francois.bertholom@telecom-sudparis.eu]]) * Enrollment to the course: [[https://docs.google.com/forms/d/e/1FAIpQLScJtoMmew0kndaWuHJzZIiYoEMN0l-lwSyycXM0wdPIE5sk2A/viewform?usp=header|Click here]] The regression course is based on the following lecture notes: {{ :world:linearmodel.pdf |Click here}} ^ Date ^ Cours Regression ^ Classification ^ Exos Regressions ^ | Mon 29/09 | Simple linear regression (Chap 1) | EM and mixture of Gaussians: {{ :world:day1.pdf | énoncé. Day1}}, {{ :world:day1-corr.pdf | solution. Day1}} | {{ :world:exercices1_5_1_simple.pdf | énoncé}} | | Tues 30/09 | Multiple linear regression (Chap 2) | End of mixture of Gaussians. Differentiation of the determinant. | | | Wednesday 01/10 | Multiple linear regression (end of Chap 2). Coefficient of determination. | Optimal Bayes Classifier. {{world:day2.pdf|Statement}} | | | Thursday 02/10 | Chap 3: Model diagnosis. {{:world:examemines2024.pdf| exam 2024}} | {{:world:day3.pdf| Logistic regression}} | {{:world:exercisechap3.jpg|exercise on the hat matrix}} | | Friday 03/10 | Chap 4: Inference in regression | Logistic regression, continued. | | - Quiz 1: solutions are given: [[world:quiz1|Cliquer ici]] - Quiz 2: [[world:quiz2|Cliquer ici]] - Quiz 3: [[world:quiz3|Cliquer ici]] ~~DISCUSSION|Ask your questions below~~