1ccc750802
add cheatsheet
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.
2026-04-07 11:25:22 +02:00
9bc23a4fe4
Refactor examples section in RKHS document for improved formatting
2026-04-07 11:16:58 +02:00
5b1b3bf5d0
Add constructive proof for RKHS properties and expand kernel closure properties
2026-04-07 11:13:57 +02:00
81c8e0267f
Add proof section for the uniqueness of reproducing kernel Hilbert spaces in RKHS document
2026-03-27 15:02:54 +01:00
d0afe915d3
Remove introductory comments and unnecessary questions from RKHS document for improved clarity.
2026-03-27 14:53:48 +01:00
877044fff0
Refactor RKHS document for improved structure and clarity, including detailed kernel definitions and examples.
2026-03-27 14:53:17 +01:00
59df0efc20
Enhance RKHS document by adding Moore-Aronszajn theorem and clarifying kernel examples
2026-03-27 14:50:40 +01:00
bbe2dc9fd1
Refactor RKHS document for clarity and formatting improvements
2026-03-27 14:41:31 +01:00
265401d85c
Add RKHS document with kernel definition and reproducing kernel explanation
2026-03-27 14:37:36 +01:00
9deb08ebba
Add main LaTeX document for statistical learning course
2026-03-21 23:56:01 +01:00
25e99f99e8
Add README file with course structure and resources
2026-03-21 23:49:03 +01:00
d35d4c964b
Add initial chapters on statistical estimation and regression
...
- Introduced Chapter 0: Introduction to Statistical Estimation with foundational concepts and methods.
- Added Chapter 1: Non-Parametric Density Estimation covering kernel methods and performance analysis.
- Included Chapter 2: Theory of Regression focusing on non-parametric methods and regularization techniques.
- Implemented Chapter 3: Neural Networks as Approximators discussing the limitations of linear approximation methods.
- Added corresponding PDF files for each chapter.
2026-03-21 23:45:07 +01:00
d5bbeaf34c
first commit
2026-03-21 23:35:45 +01:00
