UMR CNRS 7253

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en:aec [2023/05/28 06:08] – tdenoeuxen:aec [2024/02/07 07:58] – tdenoeux
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   - {{ :en:ace_exercices_chapter1.pdf |K-NN regression and bias-variance decomposition}}   - {{ :en:ace_exercices_chapter1.pdf |K-NN regression and bias-variance decomposition}}
-    * {{ :en:ace_solutions_chapter1.pdf |Solutions}} 
   - {{ :en:ace_exercises_chapter2.pdf | Linear and Quadratic Classification}}   - {{ :en:ace_exercises_chapter2.pdf | Linear and Quadratic Classification}}
-    * {{ :en:ace_solutions_chapter2.pdf |Solutions}} 
   - {{ :en:ace_exercises_chapter3.pdf | Model selection}}   - {{ :en:ace_exercises_chapter3.pdf | Model selection}}
-    * {{ :en:ace_solutions_chapter3.pdf |Solutions}} 
   - {{ :en:ace_exercises_chapter4.pdf | Splines and Generalized Additive Models}}   - {{ :en:ace_exercises_chapter4.pdf | Splines and Generalized Additive Models}}
-    * {{ :en:ace_solutions_chapter4.pdf |Solutions}} 
   - {{ :en:ace_exercises_chapter5.pdf | Tree-based and ensemble methods}}   - {{ :en:ace_exercises_chapter5.pdf | Tree-based and ensemble methods}}
-    * {{ :en:ace_solutions_chapter5.pdf |Solutions}} 
   - {{ :en:ace_exercises_chapters6.pdf | Kernel-based classification and regression}}   - {{ :en:ace_exercises_chapters6.pdf | Kernel-based classification and regression}}
-    * {{ :en:ace_solutions_chapter6.pdf |Solutions}} 
   - {{ :en:ace_exercises_chapters7.pdf |Neural networks and deep learning}}   - {{ :en:ace_exercises_chapters7.pdf |Neural networks and deep learning}}
-    * {{ :en:ace_solutions_chapter7.pdf |Solutions}} 
      
  

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