Resources
Why Do Data Cleaning and Anonymization Matter?
04/10/2021
Data cleaning and data anonymization are very critical in training ML models. Here are the reasons why.
Author
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Husna is a data scientist and has studied Mathematical Sciences at University of California, Santa Barbara. She also holds her master’s degree in Engineering, Data Science from University of California Riverside. She has experience in machine learning, data analytics, statistics, and big data. She enjoys technical writing when she is not working and is currently responsible for the data science-related content at TAUS.
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