Difference between revisions of "Evaluating Machine Learning Models"
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| − | |keywords=artificial, intelligence, machine, learning, models | + | |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 | + | |
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| − | [ | + | [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] |
| − | * [[ | + | * [[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]] | * [[Feature Exploration/Learning]] | ||
* [[Recursive Feature Elimination (RFE)]] | * [[Recursive Feature Elimination (RFE)]] | ||
* [[Cross-Validation]] | * [[Cross-Validation]] | ||
| − | * [ | + | * [[Overfitting Challenge]] |
| + | * [[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]] | ||
| + | ** [https://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/regression-model-insights.html Regression Model Insights |] [[Amazon | AWS]] | ||
| + | * [https://docs.aws.amazon.com/machine-learning/latest/dg/evaluation-alerts.html Evaluation Alerts | AWS] | ||
| + | |||
| + | |||
| + | <youtube>wpQiEHYkBys</youtube> | ||
| + | <youtube>FeKSQy5t_TI</youtube> | ||
| + | <youtube>EUiIydNBIbE</youtube> | ||
| + | <youtube>4Xw19NpQCGA</youtube> | ||
| + | <youtube>PeYQIyOyKB8</youtube> | ||
| + | <youtube>TcP-iUcgQMc</youtube> | ||
Latest revision as of 19:14, 8 September 2023
YouTube search... ...Google search
- Strategy & Tactics ... Project Management ... Best Practices ... Checklists ... Project Check-in ... Evaluation ... Measures
- 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
- Artificial General Intelligence (AGI) to Singularity ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
- Evaluating ML Models | Amazon Web Services
- Evaluation Alerts | AWS
