Oh Hai Ai
Oh Hai Ai is a By the Bay technology conference.
Talks & recordings
14 connected sessions
AI at Stitch Fix
I'll review applied deep learning techniques we use at Stitch Fix to understand our client's personal style. Interpretable deep learning models are not only useful to scientists, but lead to better client experiences -- no one wants to interact with a black box virtual assistant. We do this in several ways. We've extended factorization machines with variational techniques, which allows us to learn quickly by finding the most polarizing examples. And by enforcing sparsity in our models, we have RNNs and CNNs that reveal how they function. The result is a dynamic machine that learns quickly and challenges our clients' styles. Chris Moody came from a Physics background from Caltech and UCSC, and is now a scientist at Stitch Fix. He has an avid interest in NLP, has dabbled in deep learning, variational methods, and Gaussian Processes. He's contributed to the Chainer deep learning library ( http://chainer.org/ ), the super-fast Barnes-Hut version of t-SNE to scikit-learn ( http://scikit-le
AI: from an Idea to the Customer Panel
The Idea to the Customer panel takes several companies through the journeys of data-driven business, and covers many aspects of a live AI strategy touching customers. How do you think of Machine Learning and AI being a key part of your business, and how do you execute on it? What do you find along the way? Our distinguished panelists will share their own experiences.
Attention and Memory in Deep Learning Ne...
Attention and memory in Neural Networks.
Connections
Top 40 of 87 ranked relationships