Difference between revisions of "AI Solver"
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| − | |keywords=artificial, intelligence, machine, learning, models, algorithms | + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS |
| − | |description= | + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools. AI Solver is a tool for down-selecting algorithms for a possible solution to solve your task at hand |
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Revision as of 12:20, 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
______________________________________________________________________________________________________
- 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
