Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto

© Eric Carter, Matthew Hurst 2019

E. Carter, M. HurstAgile Machine Learninghttps://doi.org/10.1007/978-1-4842-5107-2_2

2. Changing Requirements

Eric Carter¹  and Matthew Hurst²

(1)

Kirkland, WA, USA

(2)

Seattle, WA, USA

 

Welcome changing requirements , even late in development . Agile processes harness change for the customer's competitive advantage

.—agilemanifesto.org/principles

The one constant in data engineering projects is change. Sometimes the change is in the data itself – for example, a system to detect fraudulent patterns of data will inevitably be outsmarted by future attacks causing the system to become less effective. Ideas about what to do to solve a data problem change as the data is explored and analyzed. Customers can be fickle and ...