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Data Scientists in Austin are doing incredible, cutting-edge work: making graph models of symptoms and human disease, extracting insight from huge amounts of data in real time, and building tools to improve business decisions, services and everyday life. We founded this Meetup as a forum to showcase that work.

This Meetup is organized by Galvanize Austin. Galvanize offers an industry-leading 13-week full-time Data Science Immersive program, which prepares students to join data science teams at top Austin companies, like Civitas, SparkCognition and Indeed. Learn more at: https://www.galvanize.com/austin/data-science

Upcoming events (1)

Graph Database & Modeling for Kaggle COVID-19 Dataset [LIVE ONLINE]

RSVP THROUGH THIS EVENTBRITE FOR THE ZOOM LINK: https://www.eventbrite.com/e/graph-database-modeling-for-kaggle-covid-19-dataset-live-online-tickets-106777612714 How You Can Help With COVID-19 Research Thanks to the request made by The White House Office of Science and Technology Policy, we now have free access to the COVID-19 Open Research Dataset, the most extensive machine-readable Coronavirus literature collection available for data and text mining to date. The institutions that brought this comprehensive dataset together have chosen Kaggle to be the platform for the COVID-19 Open Research Dataset Challenge. Due to the rapid increase in coronavirus literature, folks from the medical community are having difficulty identifying which articles or papers would be the most useful for their research. You can help by connecting insights across the body of literature and find a solution for the research community. The Kaggle submission deadline is June 16, 2020, at 11:59 pm UTC. To read more about the rules and eligibility requirements, visit here: https://www.kaggle.com/cord-19-rules-accept-form Workshop Description This workshop is focused on learning how to process text and make your text-based data actionable. Think Google search on top of your text documents. We will be conducting natural language processing (NLP) on biomedical literature abstracts, more specifically papers published around COVID-19. The NLP will extract entities (words and phrases) from the abstracts and also provide a class they link to. Once we have the entities extracted, we will then semantically link the text in a graph database allowing us to run analytical insights on that data. Target Audience Beginners are welcome! We Will Cover: SciSpacy a Natural Language Processing (NLP) tool Google Colab (a python environment) Intro to TigerGraph (a graph database) Graph data modeling Graph algorithms Tech requirements: This session is held online through Zoom video conference. Attendees will need to have their own laptops. Windows, Mac or Linux will do it! Have the Zoom Client for Video Meetings installed well before the webinar begins Held live online: 2 Hours – 12:00 pm - 2:00 pm Pacific Time / 2:00 pm - 4:00 pm Central Time A link to join the virtual classroom will be provided to you via email once you RSVP on Eventbrite. We look forward to meeting you virtually! To learn more about Galvanize, visit https://www.galvanize.com/ Data Science Bootcamp: https://www.galvanize.com/data-science-bootcamp To learn more about TigerGraph, visit: https://www.tigergraph.com/ About Galvanize Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following: Education - part-time and full-time training in web development, data science, and data engineering Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to supporting your company’s growth Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences

Past events (146)

Galvanize Data Science: A Day in the Life

Online event

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