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Streams, Lakes and Oceans - Working with Big Data with Azure ML
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- 1 Intro
- 2 Who is Barbara
- 3 Agenda
- 4 Aerospace predictive maintenance
- 5 What is big data
- 6 Volume of big data
- 7 Traditional approach
- 8 Data ocean
- 9 Velocity
- 10 Data served
- 11 BI and analytics
- 12 Streams
- 13 ML vs Big Data
- 14 Online Learning
- 15 Big Data
- 16 Problem description
- 17 How does ML work
- 18 What I love about Cortana
- 19 Data sources
- 20 Publish as API
- 21 Architecture
- 22 Azure ML Architecture
- 23 Standard approach
- 24 Retraining
- 25 Setting up a web service
- 26 Retaining data
- 27 Scaling web services
- 28 Questions
