article thumbnail

Forecasting uncertainty at Airbnb

O'Reilly on Data

Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Continue reading Forecasting uncertainty at Airbnb.

article thumbnail

What to Expect From Uncertainty Quantification Methods: An Untold Story of ML Evaluation

Dataiku

Which metrics should be reported? In this article, we relate our experience in building an evaluation framework for Uncertainty Quantification (UQ) in ML. How can we ensure enough diversity in the selected datasets? Which baselines should be included for fair comparison?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. In this post, we discuss how we built a solution using QuickSight that delivers real-time visibility of key metrics to public sector recruiters.

Metrics 97
article thumbnail

Infographic: Optimal Real Estate, Property Management, and Investment Metrics

Jet Global

Tracking real estate industry metrics is crucial to your organization’s success. With current market uncertainty, it’s important to understand and track the benchmarks that drive your firm—industry trends, regulatory changes, new accounting standards, cost and profitability, as well as guidance on cash flows. Ready to learn more?

Metrics 59
article thumbnail

How CIOs can be pillars of stability in an uncertain world

CIO Business Intelligence

The economists lament, “ A thick fog of uncertainty still surrounds us.” Uncertainty is our jam.” minutes of downtime per year), and expanding digital capabilities in a world characterized by massive economic, political, social, and technological uncertainty. After all, uncertainty is the one certainty.

article thumbnail

You Can’t Regulate What You Don’t Understand

O'Reilly on Data

If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. There is no simple way to solve the alignment problem. But alignment will be impossible without robust institutions for disclosure and auditing.

Metrics 283
article thumbnail

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156