Remove Clean Data Remove Data Quality Remove K-nearest Neighbors
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Debugging data to build better and more fair ML applications

Snorkel AI

It’s about how to draw and analyze data quality and machine learning quality, which is actually very related to this current trend of data-centric AI. You could have a missing value, you could have a wrong value, and you have a whole bunch of those data examples.

ML 52
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Debugging data to build better and more fair ML applications

Snorkel AI

It’s about how to draw and analyze data quality and machine learning quality, which is actually very related to this current trend of data-centric AI. You could have a missing value, you could have a wrong value, and you have a whole bunch of those data examples.

ML 52
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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.