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PAPIs 2018 has ended

Popular Events

 

#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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