Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists.
Previously called: ”Pod of Asclepius”
Keith O'Rourke | The Logic of Statistics
Dr. Keith O'Rourke talks about the logical reasoning behind statistical modeling. Topics include mathematical vs scientific reasoning, whether science has become too stats focused, and vice versa.
Watch it on...Youtube: https://youtu.be/FqE4ROHBKpYPodbean: https://dataandsciencepodcast.podbean.com/e/keith-o-rourke-the-logic-of-statistics/
Topic List:
0:00 - The logic of statistics0:30 - What is scientific statistics?5:15 - The logic of statistics and CS Pierce9:15 - Role of representation in statistics: explicit vs implicit14:13 - Diagrammatic Reasoning18:45 - Why is modeling counterfactual?19:33 - How can statisticians become better scientists?28:40 - Science is hard31:24 - Computational approaches to learning42:00 - Learning through metaphor46:28 - Diagrammatic representations vs math48:40 - Is science too statistics-focussed? 59:35 - Is statistics sufficiently science-focussed? 1:08:40 - Scientific Debate
#statistics #datascience #science
26 Jul 2022
Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks
Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks
Did you know that it's possible to hide malware in neural networks? Actually, you can hide malware in many statistical models. This is the subject of two recently-published papers (aptly titled "EvilModel" & "EvilModel 2.0"). Dr. Jack Fitzsimons makes it easy to understand how this is done, using techniques that began long before computers.
Watch or listen on... Youtube: https://youtu.be/QBnk8ogL8NkPodbean: https://dataandsciencepodcast.podbean.com/e/jack-fitzsimons-evil-models-hiding-malware-in-neural-networks/
18 Jul 2022
Scott Cunningham | Causal Inference (The Mixtape)
Scott Cunningham | Causal Inference (The Mixtape)Scott Cunningham (Baylor University) discusses the ideas of his book "Causal Inference: The Mixtape". Topics include trusting inference in the absence of counterfactuals and the challenges of apply scientific methods to social phenomena.
Watch it on...YouTube: https://youtu.be/yNaCudDVTkYPodbean: https://dataandsciencepodcast.podbean.com/e/scott-cunningham-causal-inference-the-mixtape/
0:00 - COMING UP...0:35 - What makes it into the mixed tape?7:10 - Coding to learn11:15 - More people are expected to work with data & code12:50 - Design vs program vs estimators20:40 - Causation with zero correlation27:00 - Optimization make everything endogenous28:45 - The hospital example29:30 - Credible scientific discovery vs motivated discovery39:55 - Different meanings of causality43:30 - The impossible counterfactual 47:00 Counterfactual nihilism49:20 Social experiments / Defund the police53:35 - Skepticism about the science of social phenomena1:05:20 - The Italian crime example1:16:30 - Scientific debate
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