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Introduction
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Classroom Contents
Building Billion Node Graphs for Machine Learning
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- 1 Introduction
- 2 Rorys background
- 3 AD Tech
- 4 Ad Targeting
- 5 The AI Lab
- 6 Building a graph
- 7 Design constraints
- 8 Tools
- 9 Bring it all together
- 10 Data cleaning
- 11 Performance
- 12 Notebooks
- 13 Spark
- 14 Overengineering
- 15 Framework
- 16 Notebooks Spark
- 17 Optimus Cirrus
- 18 Research Papers
- 19 Implementing Research Papers
- 20 Whats Wrong with Version 1
- 21 How Much Space
- 22 Memory Requirements
- 23 Loading Data Computer Fast
- 24 Distributed Systems
- 25 Worker Engines
- 26 Silver Message
- 27 Message Passing
- 28 Current Status
- 29 Conclusions
- 30 Build what you need
- 31 Power and storage
