https://www.montecarlodata.com/how-elt-schedules-can-improve-root-cause-analysis-for-data-engineers/ How ELT Schedules Can Improve Root Cause Analysis For Data EngineersRyan KearnsUpdated December 9, 2022 “In this article, Ryan Kearns… discusses the limitations of segmentation analysis when it comes
What I Read: Convolutions, Probability
https://www.countbayesie.com/blog/2022/11/30/understanding-convolutions-in-probability-a-mad-science-perspective Understanding Convolutions in Probability: A Mad-Science PerspectiveWill Kurt, Count BayesieDecember 01, 2022 “If you’ve ever done much mad science you’ll know that a major problem is selectively determining the
What I Read: Realtime ML Pipelines
https://medium.com/@nparsons08/challenges-of-building-realtime-ml-pipelines-4782181425c7 Challenges of Building Realtime ML PipelinesNick ParsonsNov 18 “…as companies start introducing realtime into their ML pipelines, they are finding themselves having to weigh the trade-offs between performance, cost,
What I Read: Matrix Multiplication
https://www.quantamagazine.org/ai-reveals-new-possibilities-in-matrix-multiplication-20221123/ AI Reveals New Possibilities in Matrix MultiplicationBen BrubakerNovember 23, 2022 “Inspired by the results of a game-playing neural network, mathematicians have been making unexpected advances on an age-old math
What I Learn: video quality, neural networks
https://netflixtechblog.com/for-your-eyes-only-improving-netflix-video-quality-with-neural-networks-5b8d032da09c For your eyes only: improving Netflix video quality with neural networksby Christos G. Bampis, Li-Heng Chen and Zhi LiNetflix Technology BlogNov 14 “Recently, we added another powerful tool to