CIO Business Intelligence

APRIL 8, 2024

In the years since author Michael Lewis popularized sabermetrics in his 2003 book, Moneyball: The Art of Winning an Unfair Game , sports analytics has evolved considerably beyond baseball. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk.

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

CIO Business Intelligence

AUGUST 18, 2023

It is the product of nearly 20 years of research at the University of Tennessee, beginning with a deep-dive funded by the United States Air Force on outcome-based outsourcing in 2003. So when you break a process down into small parts, it is easy to fall into measurement minutiae.

Measurement 98

Measurement Modeling Risk Management 98

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Done right, strategic forecasts can provide insights to decision makers on trends, incorporate forward-looking knowledge of product plans and technology roadmaps when relevant, expose the risks and biases of relying on any one forecasting methodology, and invite input from stakeholders on the uncertainty ranges.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Andrew White

APRIL 22, 2020

Emergency measures are undertaken with little planning. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. This period is characterized by immediate reactions to crisis. Things stop working. This phase is all about survival.

Software 52

Software Uncertainty Measurement Marketing 52

O'Reilly on Data

DECEMBER 9, 2019

The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. Statisticians who believe that probability is a natural property of an event and is measured empirically as a long-run relative frequency are called frequentists. on average. and an error term ??

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased.

KDD 40

KDD Testing Machine Learning Measurement 40

erwin

APRIL 16, 2024

Decentralization has a downside, a risk of anarchy. Datavault , established in 2003, is a boutique data consultancy providing clients with data platform, governance and analytics solutions. Decentralized data, centralized governance Data mesh breaks monolithic data architectures into smaller, more manageable decentralized domains.

Metadata 52

Metadata Data Quality Data Governance Modeling 52