Machine learning at Yelp: Some hard-learned practical lessons | Online

About this event

Dataiku and General Assembly will be hosting two talks, focusing on ML and Geospatial analytics!

Tentative Schedule:

Abstracts: Geospatial Analysis of UFOs in the US in Dataiku by Rebecka Flynn, Implementation Manager at Dataiku: UFO sightings are an enigma to many - but are they really that mysterious? This talk will deep dive into the statistics of UFO sightings, using geospatial analytics and machine learning in Dataiku DSS to explore their frequency in relation to population, poverty, and military bases. No conspiracies involved. Promise. Just pure data science on aliens. :)

Machine learning at Yelp: Some hard-learned practical lessons, Data Mining Engineer at Yelp: Yelp strives to connect people with great local businesses. For the past five years, machine learning has been instrumental in helping us achieve this goal, and today, it powers many of our product features. In our journey to become a machine learning company, we have learned numerous practical lessons--everything from how to phrase a business problem in the language of ML to the subtle issues that can lead our ML algorithms astray. This talk will share several of these lessons, with a focus on some tricky nuances that we learned the hard way. Topics discussed will include subtle feedback loops that can occur in model training, label leakage, and issues with data representation.