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====== 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]])

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      * Enrollment to the course: [[https://docs.google.com/forms/d/e/1FAIpQLScJtoMmew0kndaWuHJzZIiYoEMN0l-lwSyycXM0wdPIE5sk2A/viewform?usp=header|Click here]]


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The regression course is based on the following lecture notes: {{ :world:linearmodel.pdf |Click here}}
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^  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.                                                                               |                                                          |

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      - Quiz 1: solutions are given: [[world:quiz1|Cliquer ici]]
      - Quiz 2: [[world:quiz2|Cliquer ici]]
      - Quiz 3: [[world:quiz3|Cliquer ici]]


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