- A visual deep dive into Uber's machine learning solution for predicting ETAs. https://open.substack.com/pub/codecompass00/p/uber-billion-dollar-problem-predicting-eta?r=rcorn 6 comments programming
- A visual deep dive into Uber's machine learning solution for predicting ETAs. https://open.substack.com/pub/codecompass00/p/uber-billion-dollar-problem-predicting-eta?r=rcorn 4 comments compsci
Linked pages
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- [1701.06538] Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer https://arxiv.org/abs/1701.06538 125 comments
- Dijkstra's algorithm - Wikipedia https://en.wikipedia.org/wiki/Dijkstra's_algorithm#History 93 comments
- Geohash - Wikipedia http://en.wikipedia.org/wiki/Geohash 23 comments
- [1908.07442] TabNet: Attentive Interpretable Tabular Learning https://arxiv.org/abs/1908.07442 17 comments
- How Tesla Continuously and Automatically Improves Autopilot and Full Self-Driving Capability On 5M+ Cars https://codecompass00.substack.com/p/tesla-data-engine-trigger-classifiers 2 comments
- [2006.16236] Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention https://arxiv.org/abs/2006.16236 0 comments
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