commit 687944929926077b86170dea30e501224caaf435
parent 704f29bb22a5ea3ebd5f11c55172f0178f241672
Author: Andrew <andrewlaack1@gmail.com>
Date: Mon, 11 Nov 2024 13:52:51 -0600
More notes
Diffstat:
5 files changed, 21 insertions(+), 10 deletions(-)
diff --git a/Algorithms.md b/Algorithms.md
@@ -49,7 +49,6 @@ Ch 4 (graphs):
- [Multigraph](Multigraph.md)
- [Loop](Loop.md) (different than cycle)
- [Sparse](Sparse.md)
- - [IncidenceMatrix](IncidenceMatrix.md)
- [Subgraph](Subgraph.md)
- [ConnectedComponent](ConnectedComponent.md)
- [WeightedGraph](WeightedGraph.md)
diff --git a/DiscreteMath.md b/DiscreteMath.md
@@ -194,7 +194,6 @@ Unit 10.1 (Graphs)
- [MixedGraph](MixedGraph.md) (undirected + directed)
Unit 10.2 (Graph Terms)
- - Coplanar
- Neighborhood
- DegreeOfVertex
- Isolated (deg(a) = 0)
@@ -209,3 +208,10 @@ Unit 10.2 (Graph Terms)
- Matching
- MaximumMatching
- CompleteMatching
+
+Unit 10.3 (Representing Graphs and Isomorphisms)
+ - IncidenceMatrix - edges as columns
+ - AdjacencyList - List of all adjacent vertices (for sparse)
+ - [AdjacencyMatrix](AdjacencyMatrix.md) (for dense)
+ - Isomorphic
+ - GraphInvariant
diff --git a/IncidenceMatrix.md b/IncidenceMatrix.md
@@ -1,8 +0,0 @@
-:data-structures: :cs:
-# Incidence Matrix
-
-Ch 4
-
-## Notes
-
-**Definition:** An incidence matrix is another way to represent graphs where we maintain a linked list of all elements that are neighbors to x.
diff --git a/MachineLearning.md b/MachineLearning.md
@@ -30,6 +30,13 @@ h(x) = this is the function with an input of x this should be about the correct
## Main Links
+Deep Learning With Python (Francois Chollet):
+
+Ch 1:
+
+* [RepresentationLearning](RepresentationLearning.md)
+*
+
Introduction to Statistical Learning (Python):
Ch 2:
diff --git a/ReinforcementLearning.md b/ReinforcementLearning.md
@@ -40,3 +40,10 @@ L3
* [DynamicProgramming](DynamicProgramming.md)
* [OptimalSubstructure](OptimalSubstructure.md)
* [OverlappingSubproblems](OverlappingSubproblems.md)
+
+L4
+* [ModelFree](ModelFree.md)
+* Episodic
+* Episode
+* MonteCarloLearning
+* TemporalDifferenceLearning
