arxiv.org/abs/1901.11040v1
Benchmark data sets are of vital importance in machine learning research, as indicated by the number of repositories that exist to make them publicly available. Although many of these are usable in the stream mining context as well, it is less obviou...
arxiv.org/abs/1801.06258v1
This paper addresses the Data-Diff problem: given a dataset and a subsequent version of the dataset, find the shortest sequence of operations that transforms the dataset to the subsequent version, under a restricted family of operations. We consider...
arxiv.org/abs/1909.10631v3
Most historical National Football League (NFL) analysis, both mainstream and academic, has relied on public, play-level data to generate team and player comparisons. Given the number of oft omitted variables that impact on-field results, such as play...
github.com/Skandy01/SQL-Walmart-Data-Analysis-Project
Spearheaded an exhaustive analysis of Walmart sales data sourced from the Kaggle Walmart Sales Forecasting Competition.Identified optimal branch locations, resulting in a 5% reduction in operating costs. Analyzed payment methods, with "Credit Card" emerging as…
arxiv.org/abs/1609.08766v1
Data is a dominant force during the decision-making process. It can help determine which roads to expand and the optimal location for a grocery store. Data can also be used to influence which schools to open or to shutter and "appropriate" city servi...
arxiv.org/abs/1708.07759v1
Earlier attempts to investigate the changes of the role of friendship in different life stages have failed due to lack of data. We close this gap by using a large data set of mobile phone calls from a European country in 2007, to study how the people...
www.reddit.com/r/devsarg/comments/1q8k4fr/si_compro_un_curso_de_data_analyst_en_udemy/
Me gusta el data analyst y estuve estudiando inglés un tiempo para poder meterme como se debe en IT como data scientist pero ando necesitando chamba así que creo que no debería esperar más y empez...
arxiv.org/abs/2406.02623v2
Background: Limited universally-adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing information-based tools to support advancement in...
arxiv.org/abs/1709.01989v1
Data science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industry of the future. This article defines the terms "data science" (also r...
github.com/zhaohengyang/Generate-Parallel-Data-for-Sentence-Compression
Implement Overcoming the Lack of Parallel Data in Sentence Compression Katja Filippova and Yasemin Altun Google (⭐ 14)
arxiv.org/abs/2601.06057v2
The report highlights the role of Egyptian data workers in the global value chains of Artificial Intelligence (AI). These workers generate and annotate data for machine learning, check outputs, and they connect with overseas AI producers via internat...
arxiv.org/abs/0705.2516v1
The work proposes the application of neural networks with particle swarm optimisation (PSO) and genetic algorithms (GA) to compensate for missing data in classifying high voltage bushings. The classification is done using DGA data from 60966 bushin...
github.com/zprintz/golf-data-analyzer
LPGA Data Analysis (⭐ 1)
arxiv.org/abs/2304.03148v1
Predicting athletes' performance has relied mostly on statistical data. Besides the traditional data, various types of data, including video, have become available. However, it is challenging to use them for deep learning, especially when the size of...
github.com/AMIS-Services/20190912-data-analytics-timeseries
Materials for the Conclusion & AMIS Machine Learning Guild - MeetUp on Data Analytics and Time Series (⭐ 3)
arxiv.org/abs/2208.11372v1
In spite of the legal advances in personal data protection, the issue of private data being misused by unauthorized entities is still of utmost importance. To prevent this, Privacy by Design is often proposed as a solution for data protection. In thi...
arxiv.org/abs/1907.06319v3
Intra-voxel models of the diffusion signal are essential for interpreting organization of the tissue environment at micrometer level with data at millimeter resolution. Recent advances in data driven methods have enabled direct compari-son and optimi...
arxiv.org/abs/2403.14724v1
Synthetic Data is increasingly important in financial applications. In addition to the benefits it provides, such as improved financial modeling and better testing procedures, it poses privacy risks as well. Such data may arise from client informatio...
www.reddit.com/r/dotnetMAUI/comments/1hrlvs2/databinding_issues_with_data_template_within_dx/
Try as I might, I cannot get data binding to work with a Data Template within any kind of enclosing view that shows multiple items (for example the Developer Express Grid View). Below are my page mode...
en.wikipedia.org/wiki/AngularJS
specifications, data-ng-* can also be used as a prefix. For example, both ng-app and data-ng-app are valid in AngularJS. AngularJS two-way data binding had its