IBM Big Data Hub

FEBRUARY 20, 2024

The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.

Modeling 122

Modeling Forecasting Reporting Risk 122

O'Reilly on Data

JANUARY 22, 2019

In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP). All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters.

Modeling 134

Modeling Finance Uncertainty Data mining 134

Cloudera

MAY 15, 2018

My narrower vision of the next advancement in analytics is driven (or biased) by my quantitative risk management background and the critical role that computational simulation capabilities have played in many advances in the world of finance. Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. Mauro Cesa. “A

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

The Unofficial Google Data Science Blog

APRIL 17, 2017

Quantification of forecast uncertainty via simulation-based prediction intervals. Facebook in a recent blog post unveiled Prophet , which is also a regression-based forecasting tool. Such a model risks conflating important aspects, notably the growth trend, with other less critical aspects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

APRIL 23, 2024

This blog post discusses such a comprehensive approach that is used at Youtube. Crucially, it takes into account the uncertainty inherent in our experiments. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Cloudera

OCTOBER 3, 2018

This communication contains forward-looking statements within the meaning of the federal securities law that are subject to various risks and uncertainties that could cause our actual results to differ materially from those expressed or implied in such statements. Forward-Looking Statements.

Uncertainty 75

Uncertainty IoT Risk Reporting 75