Anmut

JULY 12, 2021

Facts, events, statements, and statistics without proper context have little value and only lead to questions and confusion.?This Both measure and compare the current state of your data against the desired state, but the approaches — and the results — are quite different. Context is everything.?Facts, How data quality assessments work.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

O'Reilly on Data

DECEMBER 12, 2019

Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. 8] , [12] Again, traditional model assessment measures don’t tell us much about whether a model is secure. Currency amounts reported in Taiwan dollars. Residual analysis.

Machine Learning 198

Machine Learning Modeling Testing Risk Management 198

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. This was not statistic and we have not really explored this in any greater detail since. I suspect we should. There really is not one plan per se for everyone.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Andrew White

JANUARY 11, 2021

measuring value, prioritizing (where to start), and data literacy? But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. Great idea. I think some of our earlier webinars touch on these.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52