From 218ad201ef03a51f53205e77db68d13b7c68b379 Mon Sep 17 00:00:00 2001
From: ben-jaynes <1btjaynes@gmail.com>
Date: Sun, 24 May 2026 20:21:50 -0700
Subject: [PATCH] vault backup: 2026-05-24 20:21:50

---
 .../Class 5-14 (Natural Language Processing).md                 | 2 ++
 .../Class 5-21 (Ensemble Models).md                             | 2 ++
 Wiki/Machine Learning/Classification Models.md                  | 2 +-
 Wiki/Machine Learning/Model Validation and Evaluation.md        | 2 +-
 Wiki/Math/Vector Basics.md                                      | 2 ++
 5 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/Running Start/CSB320 - Machine Learning Concepts/Class 5-14 (Natural Language Processing).md b/Running Start/CSB320 - Machine Learning Concepts/Class 5-14 (Natural Language Processing).md
index 9e7c382..fbafc3a 100644
--- a/Running Start/CSB320 - Machine Learning Concepts/Class 5-14 (Natural Language Processing).md	
+++ b/Running Start/CSB320 - Machine Learning Concepts/Class 5-14 (Natural Language Processing).md	
@@ -1,3 +1,5 @@
+#rs/notes #rs/class/csb320 
+- - -
 - Natural language processing
 	- concerned with the interactions between computers and human languages
 	- identify the structure and meaning of words, sentences and text
diff --git a/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md b/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md
index 0060aae..aa4f7de 100644
--- a/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md	
+++ b/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md	
@@ -1,3 +1,5 @@
+#rs/notes #rs/class/csb320 
+- - -
 - The average of guesses of a large number of people will typically be more accurate than an individual can be
 	- (wisdom of crowds)
 - Bootstrapping
diff --git a/Wiki/Machine Learning/Classification Models.md b/Wiki/Machine Learning/Classification Models.md
index 89a0766..2f2ff35 100644
--- a/Wiki/Machine Learning/Classification Models.md	
+++ b/Wiki/Machine Learning/Classification Models.md	
@@ -1,4 +1,4 @@
-#machine_learning
+#machine_learning #rs/class/csb320 
 - - -
 
 Classification models are meant to categorize instances into new classes based on data and training. They can be supervised (using labeled data) and unsupervised (using unlabeled data). They can also either predict classes directly or the probabilities of belonging to certain classes.
diff --git a/Wiki/Machine Learning/Model Validation and Evaluation.md b/Wiki/Machine Learning/Model Validation and Evaluation.md
index 23c81ae..7fa4463 100644
--- a/Wiki/Machine Learning/Model Validation and Evaluation.md	
+++ b/Wiki/Machine Learning/Model Validation and Evaluation.md	
@@ -1,4 +1,4 @@
-#machine_learning 
+#machine_learning #rs/class/csb320 
 - - -
 
 There are many ways to evaluate the performance of models. This is necessary to ensure that they are performing at an acceptable level and to help to tune them with different hyperparameters, preprocessing, data, and other pipeline changes.
diff --git a/Wiki/Math/Vector Basics.md b/Wiki/Math/Vector Basics.md
index d0c0b23..52b86f0 100644
--- a/Wiki/Math/Vector Basics.md	
+++ b/Wiki/Math/Vector Basics.md	
@@ -1,3 +1,5 @@
+#rs/class/math163 #math 
+- - -
 ## Operations
 ### Projection
 $$proj_{u}v=\frac{u\cdot v}{\left|\left|u\right|\right|^{2}}u$$