O'Reilly on Data

JANUARY 22, 2019

An exploration of three types of errors inherent in all financial models. At Hedged Capital , an AI-first financial trading and advisory firm, we use probabilistic models to trade the financial markets. All financial models are wrong. Clearly, a map will not be able to capture the richness of the terrain it models.

Modeling 133

Modeling Finance Uncertainty Data mining 133

CIO Business Intelligence

MAY 23, 2023

By extending our multi-cloud strategy, we will invest in extending Vmware’s software stack to run and manage workloads across private and public clouds, which means any enterprise can run application workloads easily, securely, and seamlessly on-prem, or in any cloud platform they prefer. He has held this position since March 2006.

Uncertainty 133

Uncertainty Cost-Benefit Risk Technology 133

CIO Business Intelligence

FEBRUARY 24, 2023

Tanzu is a central part of VMware’s software portfolio and its multi-cloud strategy, and will remain that way after Broadcom’s acquisition of VMware closes. Air Force Software Factory is now self-sustaining, employing more than 1200 people who build mission critical systems that will increasingly leverage a multi-cloud strategy.

Software 101

Software Uncertainty Risk Cost-Benefit 101

CIO Business Intelligence

OCTOBER 31, 2022

Broadcom’s Strategy I hope I’ve made clear that at Broadcom, we are continuing to embrace and invest in customers’ priorities. He has held this position since March 2006. Ultimately, what I’ve stressed to them has been straightforward: our customers are and will remain the most important part of our business.

Uncertainty 82

Uncertainty Risk Reporting Marketing 82

The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Quantification of forecast uncertainty via simulation-based prediction intervals. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. It is a big picture approach, worthy of your consideration.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40