Join us for a deep dive into business applications of machine learning & deep learning (intermediate level) at Dataiku & WeWork!
Talk #1: Building a Translator Using a New Deep Learning Model for NLP
Deep Learning in NLP has been dominated in the past years by recurrent & convolutional models. But other models emerge to improve translation quality & performance.Alex has developed a translator for his team & clients using a new neural network architecture called the Transformer. Unlike traditional translator models, this one solely focuses on attention instead of recurrence & develops powerful NLP models in a fraction of the training time.
Alex is a Data Scientist at Dataiku, working with clients around the world to organize their data infrastructures & deploy data-driven products into production. He's passionate about the latest developments in deep learning.
Tak #2: Powered by Machine Learning: Recommendation Systems at WeWork
Team Rex at WeWork deploys intelligent applications to help our members create their life's work. One of our first products is a personalized newsfeed designed to surface the most relevant user-generated content for each member. This application is powered by a suite of recommendation models embedded within a novel multi-armed bandit-based ML platform. This framework allows for faster experimentation & more granular optimizations compared to a standard A/B testing framework.
Karry Lu is a data scientist at WeWork with interests in recommendation systems, NLP & Bayesian inference. Prior lives include relapsed statistician, community organizer & failed writer.Alex Choi is a software engineer at WeWork, as well as a thought-leader, truth-seeker, & patriot.