AWS Big Data

MARCH 22, 2024

Table and column statistics were not present for any of the tables. The following graph shows performance improvements measured by the total query runtime (in seconds) for the benchmark queries. However, table statistics are often not available, out of date, or too expensive to collect on large tables.

Metadata 88

Metadata Statistics Broadcasting Optimization 88

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. Statistical methods for analyzing this two-dimensional data exist. This statistical test is correct because the data are (presumably) bivariate normal.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

IBM Big Data Hub

AUGUST 7, 2023

AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates. A mitigation plan facilitates trial continuity by providing contingency measures and alternative strategies. Department of Health and Human Services.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. The hardest parts of data science are problem definition and solution measurement, not model fitting and data cleaning , because counting things is hard.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. Identification We now discuss formally the statistical problem of causal inference. we drop the $i$ index.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Alation

SEPTEMBER 28, 2022

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. In DataOps, data analytics performance is primarily measured through insightful analytics, and accurate data, in robust frameworks. Over the past 5 years, there has been a steady increase in interest in DataOps.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52