© Eric Carter, Matthew Hurst 2019
E. Carter, M. HurstAgile Machine Learninghttps://doi.org/10.1007/978-1-4842-5107-2_13

13. Conclusion

Eric Carter1  and Matthew Hurst2
(1)
Kirkland, WA, USA
(2)
Seattle, WA, USA
 
What follows are the principles of the Agile Manifesto (agilemanifesto.org/principles) with our suggested modifications for Agile machine learning teams underlined. We also repeat the recap for each chapter.
  1. 1.

    Our highest priority is to satisfy the customer through early and continuous delivery of valuable data.

    In Chapter 1, “Early Delivery”, we looked at ways in which a team can get up and running on a new inference project. We touched on the central role of metrics and a culture that is biased to action to enable quick iterations using data ...

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