TY - GEN
T1 - Being Agile in a Data Science Project
AU - Ferreira, Renato Cordeiro
AU - Alves, Isaque
AU - Alves, Samara
AU - Goldman, Alfredo
PY - 2023/12/28
Y1 - 2023/12/28
N2 - 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.
AB - 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.
UR - http://dx.doi.org/10.1007/978-3-031-48550-3_6
U2 - 10.1007/978-3-031-48550-3_6
DO - 10.1007/978-3-031-48550-3_6
M3 - Conference contribution
SN - 9783031485497
SN - 9783031485503
BT - Agile Processes in Software Engineering and Extreme Programming – Workshops
ER -