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All HBS Web
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- Research (5)
- Faculty Publications (1)
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- 08 Oct 2018
- Working Paper Summaries
Developing Theory Using Machine Learning Methods
- 30 Oct 2018
- First Look
New Research and Ideas, October 30, 2018
Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael View Details
Keywords:
Dina Gerdeman
- 02 Oct 2018
- First Look
New Research and Ideas, October 2, 2018
policies. Download working paper: https://pubwww.hbs.edu/faculty/Pages/item.aspx?num=55050 "Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan View Details
Keywords:
Dina Gerdeman
- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. View Details
Keywords:
Dina Gerdeman
- Web
Placement - Doctoral
Margolis (Co-Chair), Ting Zhang (Co-Chair), Ethan S. Bernstein, and Lakshmi Ramarajan 2022 Yusaku Takeda Management, 2022 Placement: University of Illinois at Urbana-Champaign, Gies College of Business Dissertation: Flexibility in...
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- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...
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Keywords:
Machine Learning;
Supervised Machine Learning;
Induction;
Abduction;
Exploratory Data Analysis;
Pattern Discovery;
Decision Trees;
Random Forests;
Neural Networks;
ROC Curve;
Confusion Matrix;
Partial Dependence Plots;
AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.