- Ideas on how to summarize improvements in dataset quality https://en.wikipedia.org/wiki/Coefficient_of_variation 8 comments datascience
- Why is it inappropriate to compare standard deviations of two data sets when the means are not close to one another? http://en.wikipedia.org/wiki/Coefficient_of_variation 13 comments statistics
Linking pages
- The Coming War: ARM versus x86 - BSN* http://www.brightsideofnews.com/print/2010/4/7/the-coming-war-arm-versus-x86.aspx 71 comments
- Oxidizing Source Maps with Rust and WebAssembly - Mozilla Hacks - the Web developer blog https://hacks.mozilla.org/2018/01/oxidizing-source-maps-with-rust-and-webassembly/ 59 comments
- How to Train Really Large Models on Many GPUs? | Lil'Log https://lilianweng.github.io/posts/2021-09-25-train-large/ 33 comments
- The Coming War: ARM versus x86 - BSN* http://www.brightsideofnews.com/news/2010/4/7/the-coming-war-arm-versus-x86.aspx 32 comments
- Maglev Hash: Consistent Hash with Guaranteed Even Distribution | Practical Engineering https://peng.fyi/post/maglev-hash-alternatives-for-ring-hash/ 3 comments
- An Analysis of DAWNBench v1, a Time-to-Accuracy Benchmark for Deep Learning · Stanford DAWN https://dawn.cs.stanford.edu/2018/06/19/dawnbench-analysis/ 0 comments
- Statistical analysis of latency through semantic profiling | the morning paper https://blog.acolyer.org/2017/06/02/statistical-analysis-of-latency-through-semantic-profiling/ 0 comments
- Breaking down Broadway | The Economist http://www.economist.com/broadway-business 0 comments
- Experimenting with Threes! - Twenty Sided http://www.shamusyoung.com/twentysidedtale/?p=22455 0 comments
- Benchmarking in Node.js — probe.gl | by Daniel Kondrashevich | Oct, 2022 | Medium https://medium.com/@danielkon/probe-gl-benchmarking-in-node-js-2362548d4a99 0 comments
- Mixture-of-Experts (MoE): The Birth and Rise of Conditional Computation https://cameronrwolfe.substack.com/p/conditional-computation-the-birth 0 comments
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