Machine Learning for Mobile

Preparing the data

The data preparation activity is key to the success of the learning solution. The data is the key entity required for machine learning and it must be prepared properly to ensure the proper end results and objectives are obtained.

Data engineers usually spend around 80-90 percent of their overall time in the data preparation phase to get the right data, as this is fundamental and the most critical task for the success of the implementation of the machine learning program.

The following actions need to be performed in order to prepare the data:

1. Identify all sources of data: We need to identify all data sources that can solve the problem at hand and collect the data from multiple sources—files, databases, emails, mobile devices, ...