OpenTable is hosting its inaugural OpenScience Meetup! Come and learn about Deep Learning tricks from Stitch Fix, InfoViz from UC Berkeley, and applied machine learning in personalized feed optimization from Quora.
6:00-6:30 Meet and Greet. Refreshments.
6:30 - 8:00 Talks
8:00 - 8:15 Discussions
------------------------TALKS -------------------
6:30 - 7:00 Deep Learning's Bag of Tricks
Speaker: Christopher E Moody, Stitch Fix
Abstract:
At first glance, deep learning can seem like a daunting endeavor. I'll cover a grab bag of practical tricks & techniques to get you started if you're new or bring you up the state-of-the-art if you're experienced. Time permitting, I'll cover the basics in the framework Chainer (http://chainer.org/) (an alternative to Theano or Torch7), distributed representations, the reparameterization trick (that connects deep learning to disciplined statistics), and LSTMs (that learn sequences). At Stitch Fix we use this set of techniques to better understand client comments and respond with an experience curated for them personally, and I think there are exciting parallels at OpenTable!
Speaker Bio:
After a degree in Physics from Caltech and Ph.D in astrophysics & supercomputing from UCSC, Chris is now at Data Labs at Stitch Fix doing machine learning & statistics. In addition to deep learning, he is currently knee-deep in Gaussian Processes, t-SNE, word2vec, tensor decompositions, and factorization machines -- so if any of this sounds interesting to you let's grab some coffee! (He can be reached at moody@stitchfix.com )
