We describe the 2020 edition of the DeepMind Kinetics human action dataset, which replenishes and extends the Kinetics-700 dataset. In this new version, there are at least 700 video clips from different YouTube videos for each of the 700 classes. Thi...
A dataset of 200k English plaintext jokes. (⭐ 623)
Hi everyone! I am a Senior Data Engineer and MLOps Specialist with over 9 years of experience building scalable data architectures and productionizing machine learning models for global leaders like ...
Jan 26, 2017 · I have following data and code to round selected columns of this data.table: mydf = structure (list (vnum1 = c (0.590165705411504, -1.39939534199836, 0.720226053660755, …
Oct 2, 2019 · Encourage full meta data delivery with all data sets and to establish and promote the use standard descriptors to allow best data harvesting Include to the EOVs discussion issues such as …
This study explores the potential of using training dynamics as an automated alternative to human annotation for evaluating the quality of training data. The framework used is Data Maps, which classifies data points into categories such as easy-to-le...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
SFDMU is a cutting-edge Salesforce data migration tool for seamless org population from other orgs or CSV files. It handles all CRUD operations on multiple related objects in one go. (⭐ 524)
refer to: Cultural mediation, a mechanism of human development Data mediation, data transformation via a mediating data model Mediation (Marxist theory and
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 …
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 …
The IBM 7700 Data Acquisition System was announced by IBM on December 2, 1963. It is capable of collecting data from as many as 32 sources simultaneously
Youtube-8M dataset enhances the development of large-scale video recognition technology as ImageNet dataset has encouraged image classification, recognition and detection of artificial intelligence fields. For this large video dataset, it is a challe...
We describe the usage of the Multi-agent system in the data preprocessing stage of an on-going project, called e-Wedding. The aim of this project is to utilize MAS and various approaches, like Web services, Ontology, and Data mining techniques, in e-...
Vertical federated learning enables multi-laboratory collaboration on distributed multi-omics datasets without sharing raw data, but exhibits severe instability under extreme data scarcity (P much greater than N) when applied generically. Here, we in...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Mar 25, 2025 · It is an update to the previous statement on the types of data requested in October 2024. 1 To inform decisions on COVID-19 vaccine antigen composition, 2-6 the TAG-CO-VAC reviews data …
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
A curated collection of R projects and visualizations built for LinkedIn, focused on NFL analytics, data storytelling, and clear communication for football and sports operations audiences. Showcasing nflfastR, ggplot2, and reproducible analysis. (⭐ 0)
With the consolidation of the culture of evidence-based policymaking, the availability of data has become central to policymakers. Nowadays, innovative data sources offer an opportunity to describe demographic, mobility, and migratory phenomena more...