The Pinterest Approach to Machine Learning
published: Sept. 24, 2018, recorded: August 2018, views: 24
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Pinterest’s mission is to help you discover and do what you love—whether that’s finding the perfect recipe for your family dinner or pulling together an outfit. To achieve this level of personalization, and with 200M+ active users and billions of recommendations every day, we live on machine learning. From object detection and classification to ads auction model tuning, Machine learning is used in numerous components of our system. With limited resources as a medium-sized company, but fast growing demand from passionate users, we have to balance cutting edge technology advancement with practical system implementation that can be put in place within a short amount of time. In this talk, I will review Pinterest’s approach of a careful balance between simplicity and functionality, and how we reached our current stage of system design.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !