Jet Global

OCTOBER 8, 2020

And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. A 2017 study by FSN found that businesses which made better use of non-financial data were more than twice as likely to be able to forecast beyond the 12-month time horizon than those that didn’t.

Finance 98

Finance Reporting Forecasting Uncertainty 98

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. 5 The Global Disaster Preparedness Center recommends policymakers and others adopt a range of measures to help their regions adapt to higher heat. Global Change Research Program, 2017.

Forecasting 113

Forecasting Modeling Reporting Risk 113

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

AUGUST 7, 2023

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. The data contains measurements of electric power consumption in different households for the year 2014. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E.

Forecasting 90

Forecasting Data Warehouse Machine Learning Modeling 90

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. From a Bayesian perspective, one can combine joint posterior samples for $E[Y_i | T_i=t, E_i=j]$ and $P(E_i=j)$, which provides a measure of uncertainty around the estimate. ACM, 2017. [4]

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. Crucially, our approach does not rely on model performance on holdout samples.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Data Science and Beyond

JULY 28, 2017

While some people may find this kind of uncertainty daunting, I find it interesting, as it is one of the things that makes data science a science. As the plugin didn’t include any tests for short texts, one of the main contributions of my work was the creation of datasets and tests to measure its accuracy on texts of different lengths.

Data Science 81

Data Science Testing Measurement Uncertainty 81