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 105

Machine Learning Statistics Recreation/Entertainment Data Science 105

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

Jen Stirrup

JULY 13, 2021

In 2006, Professor Dame Black was contacted by Metropolitan Police in London, after evidence showed that a young girl had accused her father of abuse. Despite the term, data misunderstanding is not just a problem with maths understanding, confusion over statistics, or data visualisation. What does this mean for data literacy?

Statistics 80

Statistics Interactive IT Business Intelligence 80

Occam's Razor

MARCH 23, 2021

From 2006: Is Real-Time Analytics Really Relevant? ). In our in-flight optimization journey thus far, we have worked to identify signals that are believable, and identifying at which point they become believable (ex: statistically significant). The next step was to create a collection of decision trees. It sounds complex, it is not.

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

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 is at the heart of quantitative analysis. Two of the most common types of inferential statistics are: Regression analysis.

Statistics 52

Statistics Sales Testing Marketing 52

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Then in 2006, they told me to go look at a website and sign up for a thing. Tukey did this paper. It’s a great read.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109