Machine Learning for Mobile

The machine learning process

The machine learning process is an iterative process. It cannot be completed in one go. The most important activities to be performed for a machine learning solution are as follows:

1. Define the machine learning problem (it must be well-defined).
2. Gather, prepare, and enhance the data that is required.
3. Use that data to build a model. This step goes in a loop and covers the following substeps. At times, it may also lead to revisiting Step 2 on data or even require the redefinition of the problem statement:
   • Select the appropriate model/machine learning algorithm
   • Train the machine learning algorithm on the training data and build the model
   • Test the model
   • Evaluate the results
   • Continue this phase until the evaluation ...