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Venue:
Deborah Sampson
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Tuesday
, October 16
11:00am EDT
Production Machine Learning with a Domain Specific Language
Deborah Sampson
Zachary Kozick
11:30am EDT
DevOps for AI Applications
Deborah Sampson
Richin Jain
12:00pm EDT
Designing Services for Recommending Jobs to College Students
Deborah Sampson
Harlan D. Harris
2:00pm EDT
How to Go From Data Science to Data Operations
Deborah Sampson
Gil Benghiat
2:30pm EDT
A Config-based Framework for Productionized Machine Learning
Deborah Sampson
Melanie Goetz
3:00pm EDT
Unpredictable predictions of self-driving cars AI
Deborah Sampson
Iskandar Sitdikov
Wednesday
, October 17
11:00am EDT
Putting five ML models to production in five minutes
Deborah Sampson
Villu Ruusmann
11:10am EDT
Crowdsourced Human Intelligence in AI
Deborah Sampson
Jennie Kelly
11:20am EDT
Beyond the Model: Operationalizing 4,586 Bigfoot Sightings
Deborah Sampson
Guy Royse
11:45am EDT
QuSandbox: A lifecycle based approach to model governance
Deborah Sampson
Sri Krishnamurthy
11:55am EDT
Automated Data Preparation and Machine Learning
Deborah Sampson
Lars Bauerle • Pavithra Rao
12:05pm EDT
QuickCode: Label your training data fast and transparently
Deborah Sampson
Patrick Lam
2:00pm EDT
What's inside the box: comparing data across ML platforms
Deborah Sampson
Ray Deck
2:40pm EDT
BigML demo
Deborah Sampson
Poul Petersen
2:50pm EDT
Unifying Microsoft's ML Ecosystems at Massive Scales with MMLSpark
Deborah Sampson
Mark Hamilton
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PAPIs 2018
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PAPIs 2018
Oct 15
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17, 2018
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, October 17
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1 Memorial Drive, Cambridge, MA, USA
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Deborah Sampson
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Horace Mann
Nanigans
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Monday
, October 15
Tuesday
, October 16
Wednesday
, October 17
Venue
Deborah Sampson
Expo area
Horace Mann
Nanigans
Session Type
Applying ML in the real world
Local Spotlights
ML Engineering & ScienceOps
Networking
New ML techniques
Startups
Tools
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