UMR CNRS 7253

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en:aec [2019/08/19 03:33] – tdenoeuxen:aec [2021/08/23 13:57] – tdenoeux
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   - {{ :en:exercices_chapter1.pdf |K-NN regression and bias-variance decomposition}}   - {{ :en:exercices_chapter1.pdf |K-NN regression and bias-variance decomposition}}
-    * {{ :en:chapter1_exercises.r.zip |Solution}} 
   - {{ :en:exercises_chapter2.pdf |Linear classification}}   - {{ :en:exercises_chapter2.pdf |Linear classification}}
-    * {{ :en:ace_chapter2_exercises.r.zip |Solution}} 
   - {{ :en:aec_exercises_chapter3.pdf |Model selection}}   - {{ :en:aec_exercises_chapter3.pdf |Model selection}}
-    * {{ :en:ace_chapter3_exercises.r.zip |Solution}} 
   - {{ :en:ace_exercises_chapter4.pdf |Splines and GAM}}   - {{ :en:ace_exercises_chapter4.pdf |Splines and GAM}}
-    * {{ :en:ace_chapter4_exercises.r.zip |Solution}} 
   - {{ :en:ace_exercises_chapter5.pdf |Tree-based and ensemble methods}}   - {{ :en:ace_exercises_chapter5.pdf |Tree-based and ensemble methods}}
-    * {{ :en:ace_chapter5_exercises.r.zip |Solution}} 
   - {{ :en:ace_exercises_chapter6.pdf |Gaussian mixture models}}   - {{ :en:ace_exercises_chapter6.pdf |Gaussian mixture models}}
-    * {{ :en:ace_chapter6_exercises.r.zip |Solution}} 
   - {{ :en:ace_exercises_chapters7_8.pdf |Support vector classification and regression}}   - {{ :en:ace_exercises_chapters7_8.pdf |Support vector classification and regression}}
-    * {{ :en:ace_chapters7-9_exercises.r.zip |Solution}} +  - {{ :en:ace_chapters10_exercises.r.zip |Neural networks: solution}}
-  - {{ :en:ace_chapter10_exercise1.r.zip |Neural networks: solution of exercise 1 (regression)}}+
  
-** Exam ** 
- 
-  * {{ :en:exam_2019_ace_.pdf |Final exam}} 
  
 ** Datasets ** ** Datasets **

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en/aec.txt · Last modified: 2024/02/07 07:59 by tdenoeux
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