Being Agile in a Data Science Project

Renato Cordeiro Ferreira, Isaque Alves, Samara Alves, Alfredo Goldman

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Applying agile practices in data science requires adaptations. This paper describes challenges and lessons learned in two applied machine learning projects developed in the XP Lab course at University of São Paulo in Brazil. It compiles six suggestions for educators and practitioners who want to bring agility to their data science initiatives.
Original languageEnglish
Title of host publicationAgile Processes in Software Engineering and Extreme Programming – Workshops
DOIs
Publication statusPublished - 28 Dec 2023

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