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• 1ccc750802
  
  add cheatsheet main Alexis BAYLET 2026-04-08 15:56:29 +02:00
• 75c4a9c1f9
  
  Add course materials for statistical estimation and regression, including introductory chapters on non-parametric density estimation and neural networks as approximators. Alexis BAYLET 2026-04-07 11:25:22 +02:00
• 9bc23a4fe4
  
  Refactor examples section in RKHS document for improved formatting Alexis BAYLET 2026-04-07 11:16:58 +02:00
• 5b1b3bf5d0
  
  Add constructive proof for RKHS properties and expand kernel closure properties Alexis BAYLET 2026-04-07 11:13:57 +02:00
• 81c8e0267f
  
  Add proof section for the uniqueness of reproducing kernel Hilbert spaces in RKHS document Alexis BAYLET 2026-03-27 15:02:54 +01:00
• d0afe915d3
  
  Remove introductory comments and unnecessary questions from RKHS document for improved clarity. Alexis BAYLET 2026-03-27 14:53:48 +01:00
• 877044fff0
  
  Refactor RKHS document for improved structure and clarity, including detailed kernel definitions and examples. Alexis BAYLET 2026-03-27 14:53:17 +01:00
• 59df0efc20
  
  Enhance RKHS document by adding Moore-Aronszajn theorem and clarifying kernel examples Alexis BAYLET 2026-03-27 14:50:40 +01:00
• bbe2dc9fd1
  
  Refactor RKHS document for clarity and formatting improvements Alexis BAYLET 2026-03-27 14:41:31 +01:00
• 265401d85c
  
  Add RKHS document with kernel definition and reproducing kernel explanation Alexis BAYLET 2026-03-27 14:37:36 +01:00
• 9deb08ebba
  
  Add main LaTeX document for statistical learning course Alexis BAYLET 2026-03-21 23:56:01 +01:00
• 25e99f99e8
  
  Add README file with course structure and resources Alexis BAYLET 2026-03-21 23:49:03 +01:00
• d35d4c964b
  
  Add initial chapters on statistical estimation and regression Alexis BAYLET 2026-03-21 23:45:07 +01:00
• d5bbeaf34c
  
  first commit Alexis BAYLET 2026-03-21 23:35:45 +01:00