DataRobot

JULY 16, 2021

They all serve to answer the question, “How well can my model make predictions based on data?” In performance, the trust dimensions are the following: Data quality — the performance of any machine learning model is intimately tied to the data it was trained on and validated against. Operations.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Darkhorse

AUGUST 26, 2016

You have devised a number of time-tested shortcuts to deal with uncertainty. But he has a hard time explaining why it says so.When you question him about the data quality, he waves it away and mumbles something about sample size.Whenever he submits a report, it reminds you of that 4th year econ course you almost failed.

Uncertainty 40

Uncertainty Data Quality Modeling Testing 40

Depict Data Studio

MAY 12, 2020

In April, I sat down with Amanda Makulec, one of my longtime data and evaluation friends, to learn about visualizing COVID-19 responsibly. Amanda is the Data Visualization Capability Lead at Excella; a co-organizer for Dataviz DC; and the Operations Director for the Data Visualization Society (DVS).

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. As quickly as possible, you want to get designers and data scientists, machine learning folks together and using real data and prototyping and testing.

Management 110

Management Machine Learning Experimentation Metrics 110