“The standard Machine Learning workflow is:
1. Get the data
2. Transform the data to create meaningful entities
3. Transform data for Machine Learning algorithms
4. Build supervised/unsupervised models/representations
5. Deploy the model in production.” Jonathan Symonds ( January 8, 2015 )