Evaluating Machine Learning Models - Revision history

BPeat at 00:14, 9 September 2023

2023-09-09T00:14:48Z

BPeat at 22:17, 11 July 2023

2023-07-11T22:17:24Z

BPeat at 22:16, 11 July 2023

2023-07-11T22:16:35Z

BPeat: Text replacement - "http:" to "https:"

2023-03-28T16:48:26Z

Text replacement - "http:" to "https:"

BPeat at 00:09, 28 September 2020

2020-09-28T00:09:00Z

BPeat at 01:59, 5 September 2020

2020-09-05T01:59:16Z

BPeat at 12:06, 2 June 2020

2020-06-02T12:06:36Z

BPeat at 11:59, 2 June 2020

2020-06-02T11:59:00Z

BPeat at 11:56, 2 June 2020

2020-06-02T11:56:30Z

BPeat at 11:53, 2 June 2020

2020-06-02T11:53:46Z

@@ Line 23: / Line 23: @@
 * [[Cross-Validation]]
 * [[Overfitting Challenge]]
-* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]]
+* [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]
 * [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]]

@@ Line 18: / Line 18: @@
 * [[Strategy & Tactics]] ... [[Project Management]] ... [[Best Practices]] ... [[Checklists]] ... [[Project Check-in]] ... [[Evaluation]] ... [[Evaluation - Measures|Measures]]
 * [[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]]
@@ Line 24: / Line 23: @@
 * [[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/binary-model-insights.html Binary Model Insights |] [[Amazon | AWS]]

@@ Line 2: / Line 2: @@
 |title=PRIMO.ai
 |titlemode=append
-|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
+|keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
 [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]
-* [[Evaluation - Measures]]
+* [[Strategy & Tactics]] ... [[Project Management]] ... [[Best Practices]] ... [[Checklists]] ... [[Project Check-in]] ... [[Evaluation]] ... [[Evaluation - Measures|Measures]]
 * [[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]]
 * [[Recursive Feature Elimination (RFE)]]
 * [[Cross-Validation]]
 * [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]]
@@ Line 19: / Line 29: @@
 ** [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]
-* [[Overfitting Challenge]]
 <youtube>wpQiEHYkBys</youtube>

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://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...]
-[http://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]]
@@ Line 14: / Line 14: @@
 * [[Recursive Feature Elimination (RFE)]]
 * [[Cross-Validation]]
-* [http://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]]
-** [http://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]]
-** [http://docs.aws.amazon.com/machine-learning/latest/dg/multiclass-model-insights.html Multiclass Model Insights |] [[Amazon | AWS]]
+** [https://docs.aws.amazon.com/machine-learning/latest/dg/multiclass-model-insights.html Multiclass Model Insights |] [[Amazon | AWS]]
-** [http://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]]
-* [http://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]
 * [[Overfitting Challenge]]

@@ Line 9: / Line 9: @@
 * [[Evaluation - Measures]]
-* [[Automated Machine Learning (AML) - AutoML]]
+* [[Algorithm Administration#Automated Learning|Automated Learning]]
 * [[Principal Component Analysis (PCA)]]
 * [[Feature Exploration/Learning]]

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