Difference between revisions of "AI Solver"
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* [[...find outliers]]; unusual points, anomaly detection | * [[...find outliers]]; unusual points, anomaly detection | ||
* ...make a [[Recommendation]] | * ...make a [[Recommendation]] | ||
| − | * ...identify the | + | * ...looking for a [[Generative]] solution to identify the most plausible theory among competing explanations |
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Revision as of 18:34, 25 March 2019
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...
- ...predict values/quantity
- ...predict categories so I can classify each data point into a specific groups
- ...cluster data points to discover relationships and structure
- ...find outliers; unusual points, anomaly detection
- ...make a Recommendation
- ...looking for a Generative solution to identify the most plausible theory among competing explanations
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- Capabilities
- 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
Contents
Microsoft Azure Studio Cheatsheet
- How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
- Overview diagram of Azure Machine Learning Studio capabilities | Microsoft
Scikit Machine Learning Map
[http://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/ SAS
Notes
