Schedule: 6:00 - 6:30 Mix and mingle 6:30 - 6:40 Announcements 6:40 - 6:50 Lightning Talk 6:50 - 7:30 Talk Night: Jason Kessler 7:30 - 7:40 QA 7:40 - 8:00 More networking Scattertext is a Python library for visualizing how words, phrases, topics and other linguistic units are associated with a category of text. This talk will cover different techniques for visualizing term-associations, visualizing both automatically generated and preexisting topics, and techniques to visualize word embeddings on a two-dimensional scatterplot. We'll work through notebooks which will be available at Source code for the package is hosted on Github at https://github.com/JasonKessler Prior to joining CDK, Jason was the founding data scientist at PlaceIQ and worked as a research scientist for JD Power and Associates. He has published peer-reviewed papers on algorithms and corpora for sentiment and belief analysis, and has sat on program committees and reviewed for several AI and NLP conferences.

Over the course of our 12 week intensive program, Metis data science students build five projects using machine learning and statistical modeling techniques in Python, industry-level visualizations in D3, and real-world data in cloud-based SQL, no-SQL, and Hadoop databases. Their 5th and final project, built from scratch, is the project you'll see at Career Day. People come to Metis with a variety of backgrounds: about 75% come from industry, and about 50% hold advanced degrees. After successful completion of our 12 week bootcamp, our graduates have accepted data science jobs with companies such as Tesla, IBM Watson, Spotify, Capital One Labs, Target, GrubHub, Booz Allen Hamilton, WeWork, Buzzfeed, Beachbody, and more.