bootstrap – Andrew Fairless, Ph.D.

What I Read: Comparing quantiles at scale

By Andrew Fairless on October 3, 2022August 22, 2022

https://engineering.atspotify.com/2022/03/comparing-quantiles-at-scale-in-online-a-b-testing/ Comparing quantiles at scale in online A/B-testingMarch 23, 2022Published by Mårten Schultzberg (Senior Data Scientist) and Sebastian Ankargren (Data Scientist) “…we have been able to reduce the computational complexityContinue readingWhat I Read: Comparing quantiles at scale

What I Read: cross-validation

By Andrew Fairless on August 16, 2022July 18, 2022

https://robjhyndman.com/hyndsight/crossvalidation/ Why every statistician should know about cross-validationHyndsightRob J Hyndman4 October 2010 “Why every statistician should know about cross-validation”

What I Read: Parallelizing neural networks, GPU, JAX

By Andrew Fairless on July 28, 2021July 12, 2021

https://willwhitney.com/parallel-training-jax.html Will WhitneyParallelizing neural networks on one GPU with JAX How you can get a 100x speedup for training small neural networks by making the most of your accelerator.“Most neuralContinue readingWhat I Read: Parallelizing neural networks, GPU, JAX

What I Read: Can you trust AutoML?

By Andrew Fairless on February 26, 2021February 18, 2021

https://medium.com/analytics-vidhya/can-you-trust-automl-3a02332e66a0 Can you trust AutoML?Ioannis TsamardinosDec 2 “AutoML platforms try hundreds or even thousands of different ML pipelines… Do existing AutoML libraries and platforms return reliable estimates of the performanceContinue readingWhat I Read: Can you trust AutoML?

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