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Deep Learning Kickstart with Keras — Training Workshop 9:00am - 5:30pm
Production Machine Learning with a Domain Specif...
DevOps for AI Applications 11:30am - 11:50am
Designing Services for Recommending Jobs to Coll...
How to Go From Data Science to Data Operations
A Config-based Framework for Productionized Mach...
Unpredictable predictions of self-driving cars A...
Welcome & Registration 8:15am - 9:00am
Expo - Networking - Coffee 10:30am - 11:00am
Expo - Networking - Lunch 12:30pm - 2:00pm
Expo - Networking - Coffee 3:30pm - 4:00pm
Drinks! 5:30pm - 7:30pm
Opening remarks 9:00am - 9:05am
What computers can teach us about humans: Machin...
Keep It Simple, Stupid: Driving Model Adoption T...
Open AI for Advertisers: Discover Your Audience
Style Driven Recommendations @ Wayfair
AI for Software Testing with Deep Learning: Is i...
Genetic Programming in the Real World: A Short O...
Machine Learning Interpretability in the GDPR Er...
Facial Recognition Adversarial Attacks, Policy a...
Developing and Deploying ML Algorithms in a Clin...
The Right Amount of Trust for AI
The secret life of predictive models 4:00pm - 4:40pm
Startup Pitches 4:50pm - 5:00pm
AI Startup Battle 5:00pm - 5:30pm
Putting five ML models to production in five min...
Crowdsourced Human Intelligence in AI
Beyond the Model: Operationalizing 4,586 Bigfoot...
QuSandbox: A lifecycle based approach to model g...
Automated Data Preparation and Machine Learning
QuickCode: Label your training data fast and tra...
What's inside the box: comparing... 2:00pm - 2:30pm
BigML demo 2:40pm - 2:50pm
Unifying Microsoft's ML Ecosystems at Massive Sc...
Expo - Networking - Coffee 3:00pm - 3:30pm
Designing automated pipelines for unseen custom...
Migrating ML from research to production
Lightning Talks 10:00am - 10:30am
Monitoring AI with AI 11:00am - 11:20am
Reasoning About Uncertainty at Scale
Creating Robust Interpretable NLP Systems with A...
Architectures for big scale 2D imagery
Would you have clicked on what we would have rec...
Unintended consequences of AI —... 3:30pm - 4:00pm
Solving the Data Science Time Series Forecasting...
