CIO Business Intelligence

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

Machine Learning 106

Machine Learning Statistics Recreation/Entertainment Data Science 106

CIO Business Intelligence

MAY 20, 2022

The Machine Learning Department at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning. University of Texas–Austin.

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

Occam's Razor

MARCH 23, 2021

I lovingly call our strategy analytics on the bleeding edge. upgrades to processes to create deeper integration with Finance & Strategy teams. What may or may not be as common, but is an integral part of our analytics strategy is the extensive use of controlled experiments to answer life’s hardest questions. Ad unit types.

Analytics 131

Analytics Scorecard Strategy Testing 131

The Unofficial Google Data Science Blog

APRIL 17, 2017

An obvious requisite property of reconciliation is arithmetic coherence across the hierarchy (which is implicit in the sum-up-from-the-bottom possibility in the previous paragraph), but more sophisticated reconciliation may induce statistical stability of the constituent forecasts and improve forecast accuracy across the hierarchy.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Alation

OCTOBER 12, 2022

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics. What Is the Role of Statistics in Quantitative Data Analysis?

Statistics 52

Statistics Sales Testing Marketing 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. It is also a sound strategy when experimenting with several parameters at the same time. And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

MARCH 12, 2012

Clickstream + qualitative data + rigorous statistical analysis of outcomes + deep mining of data from competitive intelligence sources + rapid experiments + more. It is not my hope to encourage you to copy/paste the strategy outlined, or to use the tools shown. " That is the title of my post from June 2006.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127