Difference between revisions of "Strategy & Tactics"
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*[http://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning Insights | McKinsey&Company] | *[http://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning Insights | McKinsey&Company] | ||
*[http://en.wikipedia.org/wiki/Outline_of_machine_learning Outline_of_machine_learning | Wikpedia] | *[http://en.wikipedia.org/wiki/Outline_of_machine_learning Outline_of_machine_learning | Wikpedia] | ||
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Revision as of 14:42, 12 January 2019
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
