1. Ahmed Abbasi Brent Kitchens and Faizan Ahmad. 2019. The Risks of AutoML and How to Avoid Them . https://hbr.org/2019/10/the-risks-of-automl-and-how-to-avoid-them Ahmed Abbasi Brent Kitchens and Faizan Ahmad. 2019. The Risks of AutoML and How to Avoid Them . https://hbr.org/2019/10/the-risks-of-automl-and-how-to-avoid-them
2. Datanami.com Alex Woodie. 2020. Data Prep Still Dominates Data Scientists' Time Survey Finds. https://www.datanami.com/2020/07/06/data-prep-still-dominates-data-scientists-time-survey-finds/ Datanami.com Alex Woodie. 2020. Data Prep Still Dominates Data Scientists' Time Survey Finds. https://www.datanami.com/2020/07/06/data-prep-still-dominates-data-scientists-time-survey-finds/
3. Figure Eight. 2016. CrowdFlower Data Science Report. https://visit.figure-eight.com/rs/416-ZBE-142/images/CrowdFlower_DataScienceReport_2016.pdf Figure Eight. 2016. CrowdFlower Data Science Report. https://visit.figure-eight.com/rs/416-ZBE-142/images/CrowdFlower_DataScienceReport_2016.pdf
4. Alon Halevy Arun Kumar and Nesime Tatbul. 2020. Scalable Data Science: A New Research Track Category at PVLDB Vol 14 / VLDB 2021 . https://wp.sigmod.org/?p=3033 Alon Halevy Arun Kumar and Nesime Tatbul. 2020. Scalable Data Science: A New Research Track Category at PVLDB Vol 14 / VLDB 2021 . https://wp.sigmod.org/?p=3033
5. Data Preparation