Difference between revisions of "AI Solver"
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* ...detect: | * ...detect: | ||
| − | ** ... patterns or relationships ... [[Causation vs. Correlation|Correlation analysis]] or [[Forecasting|Time series analysis]] | + | ** ...patterns or relationships ... [[Causation vs. Correlation|Correlation analysis]] or [[Forecasting|Time series analysis]] |
| − | ** [[...predict values]]/quantity/outcomes | + | *** [[...predict values]]/quantity/outcomes |
| − | ** [[...predict categories]] so I can classify each data point into a specific groups | + | *** [[...predict categories]] so I can classify each data point into a specific groups |
| − | ** [[...cluster]] data points to discover relationships and structure; find hidden structure | + | *** [[...cluster]] data points to discover relationships and structure; find hidden structure |
| − | ** ...make a [[Recommendation]] | + | *** ...make a [[Recommendation]] |
* ...identify the most important features (attributes) or perform [[Dimensional Reduction]] | * ...identify the most important features (attributes) or perform [[Dimensional Reduction]] | ||
* [[...find outliers]]; unusual points, anomaly detection | * [[...find outliers]]; unusual points, anomaly detection | ||
Revision as of 06:59, 6 March 2024
- AI Solver ... Algorithms ... Administration ... Model Search ... Discriminative vs. Generative ... Train, Validate, and Test
Aids in selecting a starting algorithm for your solution; at that point discover similar algorithms to see which works best for your task (and data) at hand.
Lets get going? I want to...
- ...detect:
- ...patterns or relationships ... Correlation analysis or Time series analysis
- ...predict values/quantity/outcomes
- ...predict categories so I can classify each data point into a specific groups
- ...cluster data points to discover relationships and structure; find hidden structure
- ...make a Recommendation
- ...patterns or relationships ... Correlation analysis or Time series analysis
- ...identify the most important features (attributes) or perform Dimensional Reduction
- ...find outliers; unusual points, anomaly detection
- ...find a Generative AI-type solution to identify the most plausible theory among competing explanations
- ... automate processes; understand (semantic parsing) complete sentences, understanding synonyms of matching words, Sentiment Analysis, or Speech Recognition, (speech) translation ...Natural Language Processing (NLP)
- ... pathfinding; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem ... Q Learning, Deep Q Network (DQN)
- ... train Assistants, Personal Companions, or Agents
_____________________________________________________________________________________
- Algorithms & Neural Network Models to learn about approaches used to solve specific AI-related problems
- Model Search
- How to pick an algorithm | Willem Meints
- Model Mindmap | Mindmeister
- An easy guide to choose the right Machine Learning algorithm | Yogita Kinha - KDnuggets
- Everything you should know about AI models | Eray Eliaçık - Dataconomy
Microsoft Azure Studio Cheatsheet
- How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
- Overview diagram of Azure Machine Learning Studio capabilities | Microsoft
- Models | Hugging Face ... click on Sort: Trending
Scikit Machine Learning Map
SAS
Notes
