Data Quality Measurement Statistics Uncertainty 
O'Reilly on Data
MARCH 31, 2020
All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. Machine learning adds uncertainty.
The Unofficial Google Data Science Blog
JULY 18, 2023
E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. How do we think about the quality of human ratings, and how do we quantify our understanding is the subject of this post. While human-labeled data is critical to many important applications, it also brings many challenges.
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Peter James Thomas
AUGUST 12, 2018
This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.
Domino Data Lab
JUNE 23, 2019
All you need to know, for now, is that machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to learn based on data by being trained on past examples. These measurement-obsessed companies have an advantage when it comes to AI.
Jen Stirrup
NOVEMBER 15, 2022
The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Systems thinking helps the organization frame the problems in a way that provides actionable insights by considering the overall design, not just the data on its own.
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