https://lilianweng.github.io/posts/2022-09-08-ntk/ Some Math behind Neural Tangent KernelLilian WengSeptember 8, 2022 “Neural tangent kernel… leads to great insights into why neural networks with enough width can consistently converge to a global
What I Read: Causal Inference
https://thegradient.pub/causal-inference-connecting-data-and-reality/ Causal Inference: Connecting Data and RealityWenwen Ding04.Sep.2022 “Causal inference is a theory that describes, discriminates, and measures causal relationships, developed from statistics.”
What I Read: Comparing quantiles at scale
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 complexity
What I Read: Anomaly Detection Metrics
https://medium.com/@katser/a-review-of-anomaly-detection-metrics-with-a-lot-of-related-information-736d88774712 A Review of Anomaly Detection MetricsIurii KatserJul 12 “Anomaly detection… is a problem… to identify unusual patterns that do not conform to expected behavior…. we will talk about anomaly
What I Read: cross-validation
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”