Data Modeling

Understanding Data Bias

by

Author: Prabhakar Krishnamurthy; Publisher: Medium; Publication Year: 2019. The following article discusses how most datasets suffer from bias which can affect conclusions drawn from the data in a way that is discriminatory. This paper describes different types of bias and how it may arise. Knowing the sources of bias can help us mitigate their effect or improve processes to collect data to use in modeling. 2 additional…

Ethics and Data Science

by

Author: Mike Loukides, Hilary Mason, DJ Patil; Publisher: O’Reilly; Publication Year: 2018. The following book focuses on implementing ethical guidelines into data scientists’ daily work. The authors provide 5 framing guidelines: consent, clarity, consistency, control, and consequences. It is important that the authors address the whole cycle of data science. They address ethical issues throughout data collection, modeling, model…