Machine Learning

Machine Learning

1. It was born from pattern recognition

2. Computers could learn from data

3. They are able to independently adapt.

4. Ability to automatically apply complex mathematical calculations to big data

5. machine learning is a specific subset of AI that trains a machine how to learn

   • Made data mining and Bayesian analysis more popular than ever.

6. Good machine learning requires

   • Data preparation capabilities
   • Algorithms – basic and advanced
   • Automation and iterative processes
   • Scalability
   • Ensemble modeling

7. Is used by

   • Financial services
   • Government
   • minimize identity theft. Health care
   • Marketing and sales
   • Oil and gas
   • Transportation
   • Health care
   • Marketing and sales