Difference between revisions of "Evaluating Machine Learning Models"
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[https://www.youtube.com/results?search_query=Evaluating+model+machine+learning+ML YouTube search...] | [https://www.youtube.com/results?search_query=Evaluating+model+machine+learning+ML YouTube search...] | ||
[https://www.google.com/search?q=Evaluating+model+n+machine+learning+ML ...Google search] | [https://www.google.com/search?q=Evaluating+model+n+machine+learning+ML ...Google search] | ||
| − | * [[Evaluation - Measures]] | + | * [[Strategy & Tactics]] ... [[Project Management]] ... [[Best Practices]] ... [[Checklists]] ... [[Project Check-in]] ... [[Evaluation]] ... [[Evaluation - Measures|Measures]] |
* [[Algorithm Administration#Automated Learning|Automated Learning]] | * [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
| − | * [[Principal Component Analysis (PCA)]] | + | * [[Backpropagation]] ... [[Feed Forward Neural Network (FF or FFNN)|FFNN]] ... [[Forward-Forward]] ... [[Activation Functions]] ...[[Softmax]] ... [[Loss]] ... [[Boosting]] ... [[Gradient Descent Optimization & Challenges|Gradient Descent]] ... [[Algorithm Administration#Hyperparameter|Hyperparameter]] ... [[Manifold Hypothesis]] ... [[Principal Component Analysis (PCA)|PCA]] |
* [[Feature Exploration/Learning]] | * [[Feature Exploration/Learning]] | ||
* [[Recursive Feature Elimination (RFE)]] | * [[Recursive Feature Elimination (RFE)]] | ||
* [[Cross-Validation]] | * [[Cross-Validation]] | ||
| + | * [[Overfitting Challenge]] | ||
* [https://docs.aws.amazon.com/machine-learning/latest/dg/evaluating_models.html Evaluating ML Models |] [[Amazon | Amazon Web Services]] | * [https://docs.aws.amazon.com/machine-learning/latest/dg/evaluating_models.html Evaluating ML Models |] [[Amazon | Amazon Web Services]] | ||
** [https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html Binary Model Insights |] [[Amazon | AWS]] | ** [https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html Binary Model Insights |] [[Amazon | AWS]] | ||
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** [https://docs.aws.amazon.com/machine-learning/latest/dg/regression-model-insights.html Regression Model Insights |] [[Amazon | AWS]] | ** [https://docs.aws.amazon.com/machine-learning/latest/dg/regression-model-insights.html Regression Model Insights |] [[Amazon | AWS]] | ||
* [https://docs.aws.amazon.com/machine-learning/latest/dg/evaluation-alerts.html Evaluation Alerts | AWS] | * [https://docs.aws.amazon.com/machine-learning/latest/dg/evaluation-alerts.html Evaluation Alerts | AWS] | ||
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<youtube>wpQiEHYkBys</youtube> | <youtube>wpQiEHYkBys</youtube> | ||
Revision as of 17:16, 11 July 2023
YouTube search... ...Google search
- Strategy & Tactics ... Project Management ... Best Practices ... Checklists ... Project Check-in ... Evaluation ... Measures
- Automated Learning
- Backpropagation ... FFNN ... Forward-Forward ... Activation Functions ...Softmax ... Loss ... Boosting ... Gradient Descent ... Hyperparameter ... Manifold Hypothesis ... PCA
- Feature Exploration/Learning
- Recursive Feature Elimination (RFE)
- Cross-Validation
- Overfitting Challenge
- Evaluating ML Models | Amazon Web Services
- Evaluation Alerts | AWS
