Individuals are gaining more control of their personal data through recent data privacy laws such the General Data Protection Regulation and the California Consumer Privacy Act. One aspect of these laws is the ability to request a business to delete...
Data hiding is the art of hiding secret data into a cover object such as digital image for covert communication. In this paper, we make the first step towards hiding ``data hiding'', which is totally different from many conventional works that direct...
ARM processors have dominated the mobile device market in the last decade due to their favorable computing to energy ratio. In this age of Cloud data centers and Big Data analytics, the focus is increasingly on power efficient processing, rather than...
Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. Compare course options to find what fits your goals. Enroll for free.
Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?" (⭐ 407)
A dataset for understanding urban transportation. This is an urban traffic speed dataset, which consists of 214 anonymous road segments within two months (i.e., from August 1, 2016 to September 30, 2016) at 10-minute interval, and the speed observations were c…
An end-to-end data engineering pipeline that fetches data from Wikipedia, cleans and transforms it with Apache Airflow and saves it on Azure Data Lake. Other processing takes place on Azure Data Factory, Azure Synapse and Tableau. (⭐ 32)
:mag_right: Data analysis with real world data sets using Python :mag: (⭐ 441)
With the advent of big data applications and the increasing amount of data being produced in these applications, the importance of efficient methods for big data analysis has become highly evident. However, the success of any such method will be hind...
Data-oriented applications, their users, and even the law require data of high quality. Research has divided the rather vague notion of data quality into various dimensions, such as accuracy, consistency, and reputation. To achieve the goal of high d...
A starter template for Equinor data science / data engineering projects (⭐ 220)
Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. Compare course options to find what fits your goals. Enroll for free.
Tags: ios, objective-c, core-data, migration, core-data-migration | Score: 0
Tags: postgresql, jsp, servlets, jpa, eclipselink | Score: 0
Tags: object-detection, object-detection-api, mscoco, coco | Score: 1
Tags: python, pandas, dataframe, web-scraping | Score: -2
We present a shared data model for enabling data science in Massive Open Online Courses (MOOCs). The model captures students interactions with the online platform. The data model is platform agnostic and is based on some basic core actions that stude...
Empower your Indian Stock Market ventures with My open-source data scraper. Real-time, historical data for equities, derivatives, currencies, and more. Informed decisions start here! ??? #FinancialAnalysis #DataScraping (⭐ 54)
Classic Machine Learning techniques require training on data available in a single data lake. However, aggregating data from different owners is not always convenient for different reasons, including security, privacy and secrecy. Data carry a value...
Computational notebooks, tools that facilitate storytelling through exploration, data analysis, and information visualization, have become the widely accepted standard in the data science community. These notebooks have been widely adopted through no...