Difference between revisions of "AI Solver"
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| − | + | |title=AI Solver | |
| − | + | |titlemode=append | |
| − | + | |keywords=artificial, intelligence, machine, learning, models, algorithms | |
| − | + | |description=Tool for down-selecting algorithms for a possible solution to solve your task at hand | |
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<i>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.</i> | <i>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.</i> | ||
Revision as of 12:07, 2 February 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
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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
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
