This project aims to predict the future scores of NBA teams based on their previous score differences and visualize the data. The focus teams for this project are the Golden State Warriors, Los Angeles Lakers, Timberwolves, Boston Celtics, and Miami Heat. (⭐ 0…
Data and Digital Objects Management Plan Promotes open data by making researchers consciously consider data management issues from inception of a project, throughout the full life cycle of the …
Oct 3, 2019 · publishing data Collaboration challenge in documenting data processing workflows and sharing among communities. Access challenge: accessing data from
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Sep 11, 2020 · Find U.S. and Canadian rig count and drilling data, and use Oilprice.com's graphing tools to compare oil prices, frac spread, production and drilling data per basin or province.
Terabytes of data are collected by wind turbine manufacturers from their fleets every day. And yet, a lack of data access and sharing impedes exploiting the full potential of the data. We present a distributed machine learning approach that preserves...
The growing disparity between computational power and on-chip communication bandwidth is a critical bottleneck in modern Systems-on-Chip (SoCs), especially for data-parallel workloads like AI. Efficient point-to-multipoint (P2MP) data movement, such...
Let $G$ be a finite group. To every smooth $G$-action on a compact, connected and oriented Riemann surface we can associate its data of singular orbits. The set of such data becomes an Abelian group $B_G$ under the $G$-equivariant connected sum. Th...
Governments typically collect and steward a vast amount of high-quality data on their citizens and institutions, and the UK government is exploring how it can better publish and provision this data to the benefit of the AI landscape. However, the com...
Spatial association measures for univariate static spatial data are widely used. When the data is in the form of a collection of spatial vectors with the same temporal domain of interest, we construct a measure of similarity between the regions' seri...
Autonomous vehicles require reliable and resilient sensor suites and ongoing validation through fleet-wide data collection. This paper proposes a Smart Black Box (SBB) to augment traditional low-bandwidth data logging with value-driven high-bandwidth...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
QUERY(dati; query; [intestazioni]) data: l'intervallo di celle in cui eseguire la query. Ogni colonna di data può contenere solo valori booleani, numerici (compresi i tipi data/ora) o valori stringa. In caso di tipi …
QUERY(A2:E6,F2,FALSE) Syntax QUERY(data, query, [headers]) data - The range of cells to perform the query on. Each column of data can only hold boolean, numeric (including date/time types) or …
Differential abundance analysis is at the core of statistical analysis of microbiome data. The compositional nature of microbiome sequencing data makes false positive control challenging. Here, we show that the compositional effects can be addressed...
In the post-industrial world, data science and analytics have gained paramount importance regarding digital data privacy. Improper methods of establishing privacy for accessible datasets can compromise large amounts of user data even if the adversary...
The rapidly increasing availability of large amounts of granular financial data, paired with the advances of big data related technologies induces the need of suitable analytics that can represent and extract meaningful information from such data. In...
QUERY(A2:E6,F2,FALSE) Syntax QUERY(data, query, [headers]) data - The range of cells to perform the query on. Each column of data can only hold boolean, numeric (including date/time types) or …
Because of the spread of the Internet, social platforms become big data pools. From there we can learn about the trends, culture and hot topics. This project focuses on analyzing the data from Instagram. It shows the relationship of Instagram filter...
Overview The data has been split into two groups: training set (train.csv) test set (test.csv) The training set should be used to build your machine learning models. For the training set, we provide the outcome (also known as the “ground truth”) for each passe…