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Intro To Neo4j Graph Database (@NY Times)
Full Title: Intro To Neo4j Graph Database And Data Science With Graph Algorithms And NLP (hands-on workshop!) ----------------------------- CODE OF CONDUCT ----------------------------- WiMLDS is dedicated to providing a harassment-free experience for everyone. We do not tolerate harassment of participants in any form. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate. Thank you for helping make this a welcoming, friendly community for all. All attendees should read the full Code of Conduct before participating: https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct ----------------------------- AGENDA ----------------------------- 6:00 to 6:30pm attendees arrive, set up computers 6:30 to 6:45pm NY Times info and careers presentation 6:45 to 8:00pm Neo4j presentation / workshop 8:00 to 8:30pm networking ----------------------------- NOTE ----------------------------- Please note that snacks will be provided *after 8pm* in a separate room from the workshop and that food is NOT allowed in the classroom. You may want to grab some food prior to the event. ----------------------------- DESCRIPTION ----------------------------- In this workshop we will introduce graph database concepts with a focus on using Neo4j for data science applications, specifically graph algorithms. We will learn the Cypher query language for querying graphs, using a dataset of businesses, users, and reviews. We will then see how to apply graph algorithms such as community detection, centralities, pathfinding and similarity metrics for applications such as personalized recommendations, identifying influencers, and routing. Finally, we will transition to using Python to interact with Neo4j, seeing how we can integrate Neo4j and graph algorithms into common Python data science tools such as Pandas, Matplotlib, and Textblob for NLP. ----------------------------- PREPARATION ----------------------------- Hardware: Bring your laptop. To participate in the workshop, install Neo4j Desktop prior to the workshop: http://neo4j.com/download We will be making use of Neo4j Desktop as well as Python notebooks which will be shared prior to the event. You can either run the Python notebooks: 1. locally with Jupyter: http://jupyter.org OR 2. online through Google's Colaboratory hosted notebooks if you don't have Python/Jupyter installed locally: https://colab.research.google.com/notebooks/welcome.ipynb ----------------------------- INSTRUCTOR BIO ----------------------------- William Lyon is a software engineer at Neo4j on the Developer Relations team where he focuses on building integrations with other technologies and Neo4j. He also leads the Neo4j Data Journalism Accelerator Program. Prior to joining Neo4j he worked as a software engineer for startups in the fintech, real estate software, and predictive analytics API fields. He has a masters degree in Computer Science from the University of Montana. Website: https://www.lyonwj.com LinkedIn: https://www.linkedin.com/in/lyonwj/ Twitter: https://twitter.com/lyonwj

The New York Times

620 8th Ave, 10018 · New York, NY

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    What we're about

    WiMLDS's mission is to support and promote women and non-binary members who are practicing, studying or interested in the fields of machine learning and data science. We create opportunities for women to engage in technical and professional conversations in a positive, supportive environment by hosting talks by prominent data scientists, technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender or technical background. However, in support of our mission, priority for certain events and opportunities will be given to women and non-binary members.

    Our Code of Conduct (https://github.com/WiMLDS/starter-kit/wiki/Code-of-conduct) is available online and applies to all our spaces, both online and off.

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