commit ab87b381b8a20905e186b6336c9380f20be8afe6
parent db3bd2d675567bcd5434b1554fad841593e4023e
Author: Andrew <andrewlaack1@gmail.com>
Date: Thu, 18 Apr 2024 09:53:04 -0500
Completed l1 of ml course
Diffstat:
15 files changed, 121 insertions(+), 0 deletions(-)
diff --git a/Backpropagation.md b/Backpropagation.md
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+:todo:
diff --git a/ClassificationProblem.md b/ClassificationProblem.md
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+:ml:
+# Classification Problem
+
+ML 1
+
+# Notes
+
+**Definition:** There is a discrete number of possible outcomes.
+
+In other words, if there is a finite set of possible outcomes, it is a classification problem. Oftentimes this manifests as yes/no, but also could include much larger sets of possible values.
+
+The alternative to this would be a [[RegressionProblem.md]] where the output is a continuous set of values.
+
diff --git a/ClusteringAlgorithms.md b/ClusteringAlgorithms.md
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+:ml:
+# Clustering Algorithms
+
+ML L1
+
+## Notes
+
+**Definition:** An algorithm that groups data together with other like items.
+
+Think google news group related stories amongst other things.
+
+This is often done via [[UnsupervisedLearning.md]]
diff --git a/DeepLearning.md b/DeepLearning.md
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+:todo:
diff --git a/EigenVector.md b/EigenVector.md
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+:todo:
diff --git a/GradientDescent.md b/GradientDescent.md
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+:todo:
diff --git a/Kernels.md b/Kernels.md
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+:todo:
diff --git a/LogisticRegression.md b/LogisticRegression.md
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+:todo:
diff --git a/MachineLearning.md b/MachineLearning.md
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+:ml:
+# Machine Learning
+
+Links to ML Notes
+
+**Definition:** Field of study that gives computers the ability to learn without being explicitly programmed.
+
+## Questions I would like to answer
+
+1. How do I create new ML models
+2. Create chess ML program
+
+## Main Links
+
+ML Categories:
+
+[[SupervisedLearning.md]]
+[[UnsupervisedLearning.md]]
+[[ReinforcementLearning.md]]
+
+Concepts:
+
+[[RegressionProblem.md]]
+[[ClassificationProblem.md]]
+[[SupportVectorMachine.md]]
+[[ClusteringAlgorithms.md]]
+
+To do:
+
+[[LogisticRegression.md]]
+[[DeepLearning.md]]
+[[Kernels.md]]
+[[Backpropagation.md]]
+[[EigenVector.md]]
+[[GradientDescent.md]]
diff --git a/RegressionProblem.md b/RegressionProblem.md
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+:ml:
+# Regression Problem
+
+ML L1
+
+## Notes
+
+**Definition:** A regression problem is a problem where the value trying to be predicted is continuous (think graphing not yes/no).
+
+Yes/no problem is a [[ClassificationProblem.md]].
diff --git a/ReinforcementLearning.md b/ReinforcementLearning.md
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+:ml:
+# Reinforcement Learning
+
+ML L1
+
+## Notes
+
+**Definition:** Reinforce good behavior and punish bad behavior to get closer to goals.
+
+If there is not an 'optimal' way to do something, you train the system to do stuff that works. Think like a dog, you let the dog do what it wants and then reinforce good behavior and punish bad behavior.
+
+This would probably be what you would want to create a chess model.
diff --git a/SupervisedLearning.md b/SupervisedLearning.md
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+:ml:
+# Supervised Learning
+
+ML L1
+
+## Notes
+
+**Definition:** Training a model by giving it inputs and valid associated outputs.
+
+Most widely used form of model training.
diff --git a/SupportVectorMachine.md b/SupportVectorMachine.md
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+:ml:
+# Support Vector Machine (SVM)
+
+ML L1
+
+## Notes
+
+**Definition:** Algorithm that allows for an infinite dimensional vector as an input.
diff --git a/UnsupervisedLearning.md b/UnsupervisedLearning.md
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+:ml:
+# Unsupervised Learning
+
+ML L1
+
+## Notes
+
+**Definition:** Given a dataset with no labels, find some structure in the underlying data.
+
+[[ClusteringAlgorithms.md]] are often created using unsupervised learning.
+
+Another example of unsupervised learning is the cocktail party problem where you have multiple microphones in a room that is noisy, how do you separate out individual voices?
+
+
diff --git a/index.md b/index.md
@@ -13,6 +13,7 @@ This is the index for my main note classifications. I will maintain this as a ho
## Other
[[ComputerArchitecture.md]]
+[[MachineLearning.md]]
[[LinuxStuff.md]]
## Technology Books to Read
