Next Meetup

Tips for Better Predictive Models (@Foursquare)
----------------------------- AGENDA ----------------------------- 6:30-6:55pm Mingling and Networking 6:55-7:00pm Careers at Foursquare 7:00-7:45pm Talk by Stephanie Yang This talk will cover the history of Foursquare, from its roots in consumer apps to its recent pivot to building a location technology platform. Lessons learned and to be discussed with examples include: - designing the right metrics to track - the value of feature engineering - and the importance of researching your data ------------------------------- ABOUT FOURSQUARE ------------------------------- Since our inception in 2009, Foursquare has been a leading force in changing how location information enriches our real-world and digital lives. As a location intelligence company, Foursquare is comprised of two well-known consumer apps, Foursquare and Swarm, as well as thriving media and enterprise products. Our B2B offerings include Places (for developers), Pinpoint and Attribution (for marketers), and Place Insights (for analysts, based on the world's largest foot traffic panel). With more than 200 people across our offices in New York, San Francisco, and in sales offices around the globe, we’re dedicated to our trailblazing mission—enriching consumer experiences and informing business decisions. Join us! ----------------------------- SPEAKER BIO ----------------------------- Stephanie Yang is a data scientist and technical lead who has worked at Foursquare since 2014. She leads a team of machine learning engineers who build quantitative models and application servers for all things location. Prior to Foursquare, she worked as a high frequency trader for several years. She holds a Ph.D. in algebraic geometry from Harvard University. 7:45-8:15pm 30 min: Mingling and Networking ----------------------------- 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:


50 West 23d Street · New York, ny

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 ( is available online and applies to all our spaces, both online and off.

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