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Published directory entries matching your search.
ChatGPT Prompts for Data Science is a GitHub repository containing 60 useful prompts for data science tasks. It includes prompts for writing Python code, automatic machine learning, and other data science workflows.
Data Engineering Podcast is a show that covers the tools, techniques, and challenges of the data engineering discipline. Its episodes address topics including databases, workflows, automation, and data manipulation, and it is available for listening on a range of podcast platforms.
Data Science Cartoons is a directory of data science-themed cartoons and comics hosted on CartoonStock, which is described as the world's largest online collection of cartoons and comics. The listing provides access to funny pictures related to the field of data science.
Data News is a Tumblr blog with information, data and behind-the-scenes details from the WNYC Data News Team. Posts describe data projects, including a judicial election tool and a town hall tracker.
distilabel is a framework for synthetic data generation and AI feedback intended for engineers. It provides fast, reliable, and scalable pipelines based on verified research papers, supporting data synthesis for AI systems and on-the-fly feedback addition. The framework aims to improve AI output quality via enhanced data quality, give users control over their data and models, and boost efficiency through rapid iteration on research and large language models.
Apache Flink is a distributed data processing engine for stateful computations over data streams. It offers exactly-once state consistency, event-time processing, layered APIs including SQL on stream and batch data, and flexible deployment with savepoints. Its stated use cases include event-driven applications, stream and batch analytics, and data pipelines and ETL.
A book titled JavaScript for Data Science by Maya Gans, Toby Hodges, and Greg Wilson, version 4.0, dated January 2020. It covers topics such as callbacks, promises, objects, classes, HTML, CSS, React, data services, testing, data visualization, and a three-tier web application, with an even mix of browser and server programming. It is intended for scientists and engineers.
A guide that introduces data processing and cleaning in JavaScript, teaching how to load, modify and transform data using JavaScript libraries. It covers tasks geared around preparing data for further analysis and visualization, demonstrated with core JavaScript API, d3.js and lodash. It assumes some basic knowledge of JavaScript.
The Master of Data Science (M.A.S.) at Illinois Institute of Technology is a master's program in the School of Computing. It covers machine learning, deep learning, big data analytics and data visualization, with courses available online, on campus or hybrid and full-time, part-time or self-paced schedules.
The Data Science MSc is a postgraduate taught programme at the University of Edinburgh. It covers the computational principles, methods and systems for extracting and structuring knowledge from data, and the application of those principles. The programme notes that large data sets are generated by almost every activity in science, society and commerce.
NCEI is a NOAA center that provides environmental data on historical weather, climate, ocean and magnetic field conditions. It maintains an archive of oceanic, atmospheric and geophysical data, archiving over 229 terabytes each month from over 130 observing platforms. NCEI is moving its data and applications to the cloud, which may cause temporary data access delays.
OpenDataPhilly is a catalog of open data in the Philadelphia region. It is the official open data repository for the City of Philadelphia and also includes data sets from many organizations in the region. The catalog covers categories such as arts, culture and history, boundaries, budget and finance, economy, education, elections and politics, environment, food, health and human services, parks and recreation, planning and zoning, public safety, real estate and land records, and transportation.
Prash Chan is associated with the MDM – A GEEK'S POINT OF VIEW blog hosted at mdmgeek.com. The blog is run by data management expert Prash Chandramohan and covers topics including master data management, data quality, data governance, cloud, marketing, and leadership. It also offers free email subscriptions for new blog posts.
The Data Engineering Show is a podcast for data engineering and BI practitioners. It features discussions with tech influencers about practical day-to-day data challenges and solutions. Episodes are available on platforms including Apple Podcasts, Spotify and Pocket Casts.
ADS-B Exchange offers live flight APIs and historical datasets of aircraft data for research, analytics and integration. Live positions refresh every 250 milliseconds, with update frequency options of 5s, 500ms or 250ms. Daily positions provide a record of global aircraft positions refreshed every 24 hours, and daily operations deliver completed flight events. Data is available via API, streaming and data feeds.
Apache Zeppelin is a web-based notebook for data-driven, interactive data analytics and collaborative documents with SQL, Scala, Python, R and more. It uses interpreters to plug in language and data-processing backends, including built-in Apache Spark integration, and includes basic charts, pivot charts, dynamic forms and paragraph publishing to embed results in websites.
ArtiVC is a command-line tool for data versioning on cloud storage. It snapshots data and switches between versions, supporting commit history, commit messages, version tags, diffing commits, and pulling data from a specific version. Backends include local filesystem, remote filesystem over SSH, AWS S3, Google Cloud Storage, and Azure Blob Storage, with more through Rclone. No additional server is required.
Data Mania Blog, also known as the Convergence Blog, is a resource hub published by Data-Mania, LLC for technology startup leaders. It features content covering topics such as AI search visibility, AI marketing tools, and startup growth strategies.
ReadStat.jl, listed as Data Read, is an open-source Julia library for reading data files in Stata, SAS, and SPSS formats. The project is hosted on GitHub under the queryverse organization, where users can access source code and contribute to its development.
Data Science Degree @ Berkeley refers to the UC Berkeley School of Information's online Master of Information and Data Science (MIDS) program. The program is designed for working professionals, features a rigorous holistic curriculum, flexible program paths, and a capstone component, and is nationally recognized by Fortune.
The Data Science Lab is a blog of experiments with data. Posts cover topics including k-means clustering, k-means++ seeding, the gap statistic, and an alternative approach to selecting the optimal number of clusters based on a 2004 publication by Pham, Dimov and Nguyen. A 2014 annual report notes the blog was viewed about 74,000 times that year.
A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
Data Science Trello Board is a Trello project board intended for organizing data science work. The associated page displays a notice that Trello resources may fail to load due to browser, firewall or proxy configuration issues, and provides troubleshooting guidance for users.
Data Studio is a web-based reporting tool for building interactive dashboards and reports. It offers built-in and partner connectors to access many kinds of data, and allows reports and dashboards to be shared with individuals, teams or the public, embedded on web pages, and viewed in a gallery. The page states it is easy and free to use.
