The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

JANUARY 22, 2019

Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below. 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

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. This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks. Providing more value to citizens through data.

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

Jet Global

AUGUST 31, 2022

Prior to 2015, a number of MNEs pursued tax planning strategies that effectively transferred profits from higher-tax jurisdictions to lower-tax countries, thereby eroding the tax-bases of the higher-tax jurisdictions. BEPS represents a change in global taxation, but it isn’t the only change. Prioritize policy over numbers.

Software 52

Software Reporting Forecasting Management 52

O'Reilly on Data

DECEMBER 9, 2019

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. and an error term ??

Statistics 27

Statistics Uncertainty Risk Marketing 27

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. Consider risk not only in terms of likelihood but also in terms of the impact of your decisions.

Uncertainty 275

Uncertainty Testing Risk Reporting 275