Managing Machine Learning Projects

2 Pre-project: From opportunity to requirements

This chapter covers:

• Understanding the project type and the stakeholders’ expectations of scale and structure
• Setting up a pre-sales/pre-project process
• Understanding requirements for model performance
• Understanding data assets
• Understanding the project’s general requirements
• Coming to grips with the tools and infrastructure to deliver successfully

Project success and failure are defined by the pre-project/presales activity that surrounds it. The challenge is to move from knowing that there’s an opportunity to get paid for an ML project to a job that you can use to pay your mortgage. The purpose of this chapter is to lay out the activities and actions that need to happen to understand if an ML ...