Difference between revisions of "Strategy & Tactics"
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Artificial Intelligence is great for complex problems where traditional approaches are difficult or impossible to implement such as long list of rules would be required or when the conditions are always changing. | Artificial Intelligence is great for complex problems where traditional approaches are difficult or impossible to implement such as long list of rules would be required or when the conditions are always changing. | ||
Revision as of 07:23, 21 October 2018
Artificial Intelligence is great for complex problems where traditional approaches are difficult or impossible to implement such as long list of rules would be required or when the conditions are always changing.
- Predictive Analysis 101 | Ravi Kalakota
- Machine Learning Algorithms: Which One to Choose for Your Problem | Daniil Korbut
- Automating business processes, Gaining insight through data analysis, Engaging with customers and employees
- Machine Learning Algorithms
- Neural Network Zoo | Fjodor Van Veen
- Insights | McKinsey&Company
- Outline_of_machine_learning | Wikpedia
- How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
- Overview diagram of Azure Machine Learning Studio capabilities | Microsoft
