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With Jeremy Salfen (Dir. Data, Kickstarter) & Guilherme de Oliveira (Data Scientist, Dataiku).
Thursday, September 14, 2017 at 06:00 PM    Cost: Absolutely Free
Dataiku, 26 Broadway


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Hi all,

Were glad to announce our second DataConnect meetup in NYC!

Jeremy Salfen, Director of Data at Kickstarter, will explain how his team built its recommender system from scratch & give attendees tips & tricks to help them create their own.

Guilherme de Oliveira, Data Scientist at Dataiku, will present ause case on recommender engines using a dataset involving beer check-ins in New York.

Lessons Learned from Building a Recommender System:

Kickstarters data team built its project recommendations with the following mindset: start simple & only add complexity when necessary. From a query with under 10 lines of code to a micro service running an ensemble of collaborative filtering & content-based models, Jeremy & his team developed their system almost entirely from scratch, iteratively building & learning from the results. You will learn about the algorithms they used, the infrastructure they built, & the experiments they run to validate their effect on the user experience.

Jeremys bio:

Jeremy is Director of Data at Kickstarter. His current focus is building data products to improve Kickstarter's user experience & refining the company's approach to the design & analysis of experiments. You can follow him on Twitter at @jsalfen.

Guilhermes bio:

Guilherme is a Data Scientist at Dataiku. He works out of the headquarters in NYC where he helps customers build & deploy predictive applications. Before joining Dataiku, he was a fellow at the Insight Data Science Fellowship program, & prior to that he worked in quantitative finance. He holds a PhD in applied mathematics.


6:00 PM: Pizza, beer, & networking6:30 PM: Jeremy'spresentation7:00 PM: Guilhermes presentation7:15 PM: Q&A7:30 PM: More pizza, beer, & networking

PS: Kickstarter is hiring! Check out their career page for open positions.

PPS: Our DataConnect meetups are designed to provide you with insights from a wide range of industry experts, to bring together data professionals & enthusiasts to share insights, lessons learned, best practices, & to discover the latest technologies in the data ecosystem.Want to collaborate with us? Get in touch!

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