From 96f4cbb4bcd590026fa4849469d2e9d082dce09f Mon Sep 17 00:00:00 2001 From: danhernandez04 Date: Mon, 24 Nov 2025 14:47:04 -0500 Subject: [PATCH] Contributions by Daniel Hernandez for Unit 6 Practice Problems unit6.md This problem set I made focuses on overparameterized models, regularization, and Bayesian thinking. Allows practice on how priors influence posterior estimates, how regularization like ridge regression affects regression coefficients, and how to reason about model complexity and overfitting. --- unit6.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/unit6.md b/unit6.md index c7704d3..f7e2697 100644 --- a/unit6.md +++ b/unit6.md @@ -12,6 +12,7 @@ At this point we have seen that models can be too complicated, but thus far **co Material: - [Notes and exercises](/public/latex_notes/unit6/unit6.pdf) +- Unit 5 Problem Contributions for Extra Credit- Daniel Hernandez: [Math_50_Unit_6_Problem_Contributions_for_Extra_Credit__Daniel_Hernandez.pdf](https://github.com/user-attachments/files/23730949/Math_50_Unit_6_Problem_Contributions_for_Extra_Credit__Daniel_Hernandez.pdf) - [Colab notebook]() # Concepts @@ -31,4 +32,4 @@ Regularization for regression models, Priors, Laplace rule of succession, Bayes - [Prior probability](https://en.wikipedia.org/wiki/Prior_probability) - [Rule of succession](https://en.wikipedia.org/wiki/Rule_of_succession) - [Ridge regression](https://en.wikipedia.org/wiki/Ridge_regression) -- [Lasso (statistics)](https://en.wikipedia.org/wiki/Lasso_(statistics)) \ No newline at end of file +- [Lasso (statistics)](https://en.wikipedia.org/wiki/Lasso_(statistics))