Difference between revisions of "AI Solver"
| Line 15: | Line 15: | ||
** [[...cluster]] data points to discover relationships and structure | ** [[...cluster]] data points to discover relationships and structure | ||
** ...make a [[Recommendation]] | ** ...make a [[Recommendation]] | ||
| + | * ...identify the most important features or [[Dimensional Reduction Algorithms]] | ||
* [[...find outliers]]; unusual points, anomaly detection | * [[...find outliers]]; unusual points, anomaly detection | ||
* ...find a [[Generative]]-type solution to identify the most plausible theory among competing explanations | * ...find a [[Generative]]-type solution to identify the most plausible theory among competing explanations | ||
Revision as of 04:31, 27 June 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...
- ...detect patterns...
- ...predict values/quantity
- ...predict categories so I can classify each data point into a specific groups
- ...cluster data points to discover relationships and structure
- ...make a Recommendation
- ...identify the most important features or Dimensional Reduction Algorithms
- ...find outliers; unusual points, anomaly detection
- ...find a Generative-type 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
