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