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[00:00] Rakesh preferred coffee
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Classroom Contents
Real-time Feature Generation at Lyft
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- 1 [00:00] Rakesh preferred coffee
- 2 [00:24] Real-time machine learning
- 3 [04:51] Latency tricks explanation
- 4 [09:28] Real-time problem evolution
- 5 [15:51] Config management complexity
- 6 [18:57] Data contract implementation
- 7 [23:36] Feature store
- 8 [28:23] Offline vs online workflows
- 9 [31:02] Decision-making in tech shifts
- 10 [36:54] Cost evaluation frequency
- 11 [40:48] Model feature discussion
- 12 [49:09] Hot shard tricks
- 13 [55:05] Pipeline feature bundling
- 14 [57:38] Wrap up
