Smart Data Collective

JULY 1, 2023

Cohen’s Kappa) to measure inter-annotator agreement. Address their questions and clarify any uncertainties promptly. Organize regular workshops to keep annotators updated with the latest guidelines and any changes in annotation strategies. Consistency and agreement Establish an agreement metric (e.g.,

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. time (how much time is lost?)

Data-driven 87

Data-driven IT Measurement Cost-Benefit 87

Domino Data Lab

JUNE 2, 2019

Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population. Jupyter Community Workshop , Jun 22-23, Córdoba.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Smarten

JULY 18, 2022

The path to Citizen Data Scientist does not have to be fraught with uncertainty.’. The enterprise can create and manage goals and objectives using measurable data and can improve time to market and make better decisions. The path to Citizen Data Scientist does not have to be fraught with uncertainty.

Uncertainty 52

Uncertainty Predictive Analytics Forecasting Analytics 52

Jen Stirrup

NOVEMBER 15, 2022

The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Of course, the findings need to add value, but how do we measure this success? Measures can be financial, tying in with the business strategy. After all, it can sound a bit woolly!

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145