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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

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 However, table statistics are often not available, out of date, or too expensive to collect on large tables.

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The curse of Dimensionality

Domino Data Lab

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.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

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.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

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.

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What Is DataOps? Definition, Principles, and Benefits

Alation

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.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. For this simple vignette, we might regard $X_1$ and $X_2$ as errors from a measuring scale and note that $X_2$ is not as precise an instrument as $X_1$. OTexts, 2014.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

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.