Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. The Singapore Health Services (SingHealth) has also used data to optimize operations during the pandemic.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Crucially, it takes into account the uncertainty inherent in our experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. 2015): 37-45. [3] 3] Hill, Daniel N.,

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

JULY 11, 2017

If both variances are positive then the optimal estimator of $y_{t+1}$ winds up being "exponential smoothing," where past data are forgotten at an exponential rate determined by the ratio of the two variances. Also notice that while the state in this model is Markov (i.e. Predicting the present with Bayesian structural time series.

Forecasting 64

Forecasting Statistics Modeling Software 64

The Unofficial Google Data Science Blog

MARCH 31, 2016

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. arXiv preprint arXiv:1506.04416 (2015). [6] Applied Stochastic Models in Business and Industry, 31 (2015): 37-49. bandit problems). Bayesian dark knowledge."

Modeling 40

Modeling Statistics Advertising Testing 40

datapine

SEPTEMBER 4, 2023

For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Simple, striking, effective, and informational, this is certainly among the prime data visual examples in existence, and its message is as engaging as it is informational, offering key insights into optimizing our daily routines for enhanced success.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264