1.2.1 Workflow

The machine learning process workflow illustration is based on the CRISP-DM methodology. Each stage in the workflow is illustrated with points that summarize the key tasks. The CRISP-DM methodology is the most commonly used methodology for machine learning.

The following are the phases of the machine learning process:
  • Define business goals
  • Understand data
  • Prepare data
  • Develop models
  • Evaluate
  • Deploy
Each of these phases are described separately. The following figure illustrates machine learning process workflow.

Figure 1-2 Machine Learning Process Workflow

Description of Figure 1-2 follows
Description of "Figure 1-2 Machine Learning Process Workflow"

Related Topics

Parent topic: Machine Learning Process