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Applying ML in the real world
Local Spotlights
ML Engineering & ScienceOps
Networking
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Popular
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#1
Opening remarks
#2
Keep It Simple, Stupid: Driving Model Adoption Through Tiers
#3
Designing automated pipelines for unseen custom data
#4
Solving the Data Science Time Series Forecasting Challenge
#5
Would you have clicked on what we would have recommended?
#6
Crowdsourced Human Intelligence in AI
#7
What computers can teach us about humans: Machine Learning in marketing
#8
Machine Learning Interpretability in the GDPR Era
#9
The secret life of predictive models
#10
Creating Robust Interpretable NLP Systems with Attention
#11
Welcome & Registration
#12
Migrating ML from research to production
#13
Facial Recognition Adversarial Attacks, Policy and Choice
#14
Production Machine Learning with a Domain Specific Language
#15
Reasoning About Uncertainty at Scale
#16
AI for Software Testing with Deep Learning: Is it possible?
#17
DevOps for AI Applications
#18
The Right Amount of Trust for AI
#19
Putting five ML models to production in five minutes
#20
Expo - Networking - Coffee
#21
What's inside the box: comparing data across ML platforms
#22
QuickCode: Label your training data fast and transparently
#23
Automated Data Preparation and Machine Learning
#24
Startup Pitches
#25
Monitoring AI with AI
#26
Designing Services for Recommending Jobs to College Students
#27
How to Go From Data Science to Data Operations
#28
Expo - Networking - Coffee
#29
Expo - Networking - Lunch
#30
Developing and Deploying ML Algorithms in a Clinical Setting
#31
AI Startup Battle
#32
Genetic Programming in the Real World: A Short Overview
#33
A Config-based Framework for Productionized Machine Learning
#34
Beyond the Model: Operationalizing 4,586 Bigfoot Sightings
#35
Unintended consequences of AI — panel discussion
#36
Drinks!
#37
Lightning Talks
#38
Expo - Networking - Coffee
#39
Architectures for big scale 2D imagery
#40
Expo - Networking - Coffee
#41
Welcome & Registration
#42
Expo - Networking - Lunch
#43
QuSandbox: A lifecycle based approach to model governance
#44
Deep Learning Kickstart with Keras — Training Workshop
#45
Open AI for Advertisers: Discover Your Audience
#46
Unpredictable predictions of self-driving cars AI
#47
BigML demo
#48
Unifying Microsoft's ML Ecosystems at Massive Scales with MMLSpark
#49
Style Driven Recommendations @ Wayfair
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