Aug. 29, 2023, 7:13 a.m. | Miriam Santos

Towards Data Science - Medium towardsdatascience.com

Data Quality Chronicles

Missing data, missing mechanisms, and missing data profiling

Missing Data prevents data scientists to see the entire story the data has to tell. Sometimes, even the smallest pieces of information can provide a completely unique view of the world. Photo by Ronan Furuta on Unsplash.

Earlier this year, I started a piece on several data quality issues (or characteristics) that heavily compromise our machine learning models.

One of them was, unsurprisingly, Missing Data.

I’ve been studying …

data analysis data engineering data science machine learning missing-data

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant Senior Data Engineer F/H

@ Devoteam | Nantes, France