Being Agile in a Data Science Project

被引：0
|
作者：
Cordeiro, Renato [1 ]
Alves, Isaque [1 ]
Alves, Samara [2 ]
Goldman, Alfredo [1 ]
机构：
[1] Univ Sao Paulo, Sao Paulo, SP, Brazil
[2] Fundacao Oswaldo Cruz, Rio De Janeiro, Brazil
来源：
AGILE PROCESSES IN SOFTWARE ENGINEERING AND EXTREME PROGRAMMING - WORKSHOPS, XP 2022 WORKSHOPS, XP 2023 WORKSHOPS | 2024年 / 489卷
关键词：
Agile; Data Science; Machine Learning; Software Engineering; Extreme Programming; Scrum; Kanban; XP Lab;
D O I：
10.1007/978-3-031-48550-3_6
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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 Sao Paulo in Brazil. It compiles six suggestions for educators and practitioners who want to bring agility to their data science initiatives.
引用
收藏
页码：51 / 59
页数：9
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