The 2017 Machine Learning Conference in Seattle is scheduled for May 19th, 2017. Enjoy a full day conference this May and take a moment to network with other attendees, event speakers and sponsors during coffee breaks and meals.

Conference Schedule

9:00-9:30

Artificial Intelligence Law and Policy: Key Challenges

Ryan Calo
9:30-9:55

Margaret Mitchell
9:55-10:20

Distributed Analytics and Machine Learning for Large-Scale Medical Image Processing

Shiva Amiri
10:20-10:45

Towards Scaling Video Understanding

Serena Yeung
10:45-11:05

Coffee Break
11:05-11:30

Leave No Valuable Data Behind: the Crazy Ideas and the Business​

Luna Dong
11:30-11:55

Knowledge at Pinterest

Sonja Knoll
11:55-12:15

Solving the Contextual Multi-Armed Bandit Problem at Nordstrom

John Maxwell
12:15-12:35

Apache Mahout: Distributed Matrix Math for Machine Learning

Andrew Musselman
12:35-2:05

Lunch Break
2:05-2:40

Beating Perils of Non-convexity: Guaranteed Training of Neural Networks using Tensor Methods

Hanie Sedghi
2:40-3:05

Neural Information Retrieval and Conversational Question Answering

Byron Galbraith
3:05-3:30

Data Science for Good: Stopping Illegal Deforestation Using Deep Learning

Sara Hoooker
3:30-3:55

A Deep Learning Computational Chemistry AI: Making chemical predictions with minimal expert knowledge

Garrett Goh
3:55-4:15

Coffee Break
4:15-4:20

Announcements
4:20-4:45

Applications of machine learning and ensemble methods to risk rule optimization

Alex Korbonits
4:45-5:10

ML(Machine Learning) in AML (Anti Money Laundering)

Ashrith Barthur
5:10-5:30

Build Scalable and Modular Learning Systems

Tianqi Chen
5:30-6:00

Event Conclusion & Book Giveaway

The following sponsors made this event possible