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| - | ^ Date ^ Cours Regression ^ Classification ^ Additive ressources ^ | + | ^ Date ^ Thèmes abordés ^ Ressources additionnelles ^ |
| - | | 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}} | | + | | Mon 28/09 | Rappels de Statistiques. {{:world:polystats.pdf| polycopié stat}} | | |
| - | | 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. | | | + | |
| - | | Monday 06/10 | {{ :world:chap4.pdf | Chap 4}}: Inference in regression (continued) {{:world:polystats.pdf}}: The theorem of Cochran is at **page 22**. See also the p-value at **page 60-61**. | {{:world:day4.pdf|Adaboost}} | | | + | |
| - | | Tuesday 07/10 | Chap 5: Variable selection. {{:world:selectionmodele-svm.pdf| Model selection and svm}} | {{ :world:day5.pdf | SVM}} . Primal formulation. | | | + | |
| - | | Wednesday 08/10 | End of Variable selection (BIC, AIC). | [[world:kkt|KKT conditions]]. Dual formulation. RKHS. | | | + | |
| - | | Thursday 09/10 | Examen 2023. {{ :world:day7-exam-corr.pdf | Correction Examen 2023}} {{ :world:examemines2024-corr.pdf | Correction Examen 2024}} | | | | + | |
world/introml.1790548009.txt.gz · Last modified: 2026/09/28 00:26 by rdouc
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