Machine Learning

Machine Learning

1. What it is

   • is a method of data analysis
     • that automates analytical model building
   • It is a branch of artificial intelligence

2. Evolution

   • It was born from
     • that computers can learn
       • without being programmed to perform specific tasks
     • pattern recognition
   • The iterative aspect
     • as models are exposed to new data
       • they are able to independently adapt

3. Why is machine learning important?

   • it's possible to quickly and automatically produce models that can
     • analyze bigger
       • more accurate results even on a very large scale
       • more complex data

4. Who's using it?

   • Financial services
   • Government
   • Health care
   • Marketing and sales
   • Oil and gas
   • Transportation

5. How it works

   • Algorithms
     • Neural networks
     • Decision trees
     • Random forests
   • Tools and Processes
     • Comprehensive data quality and management
     • GUIs for building models
     • Automated ensemble model evaluation