This chapter covers
- Identifying a machine learning opportunity
- Identifying what and how much data is required
- Building a machine learning system
- Using machine learning to make decisions
In this chapter, you’ll work end to end through a machine learning scenario that makes a decision about whether to send an order to a technical approver or not. And you’ll do it without writing any rules! All you’ll feed into the machine learning system is a dataset consisting of 1,000 historical orders and a flag that indicates whether that order was sent to a technical approver or not. The machine learning system figures out the patterns from those 1,000 examples and, when given a new order, will be able to correctly determine whether to send the order to a technical approver.