https://statmodeling.stat.columbia.edu/2024/03/14/abraham-lincoln-and-confidence-intervals/ Abraham Lincoln and confidence intervalsAndrew GelmanPosted on March 14, 2024 9:04 AM “In a problem where the confidence interval is [0.1, 0.4], “the lower and upper endpoints of the
What I Read: reliance on AI-assisted decisions
https://statmodeling.stat.columbia.edu/2024/03/06/defining-optimal-reliance-on-model-predictions-in-ai-assisted-decisions/Defining optimal reliance on model predictions in AI-assisted decisionsJessica Hullman3/6/24 12:31 PM “…AI-assisted decision task is of interest as organizations deploy predictive models to assist human decision-making in domains like
What I Read: Tree-Structured Parzen Estimator
https://towardsdatascience.com/building-a-tree-structured-parzen-estimator-from-scratch-kind-of-20ed31770478 Building a Tree-Structured Parzen Estimator from Scratch (Kind Of)An alternative to traditional hyperparameter tuning methodsColin HorganApr 4 “Although popular, Grid and Random Search methods… are purely trial and error.
What I Read: ELT Schedules, Root Cause Analysis
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: How diffusion models work
https://theaisummer.com/diffusion-models/ How diffusion models work: the math from scratchSergios Karagiannakos, Nikolas Adaloglouon2022-09-29 “Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images.”