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”
Data & Science with Glen Wright Colopy
Claim This Podcastby Glen Wright Colopy
89 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇬🇧
Podcast Overview
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”
Language
🇺🇲
Publishing Since
1/8/2020
Reach the team behind Data & Science with Glen Wright Colopy
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes
August 2, 2022
Keith O’Rourke | The Logic of Statistics
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
July 26, 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/
July 18, 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
89 total episodes available
Deep-dive analytics for Data & Science with Glen Wright Colopy
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Data & Science with Glen Wright Colopy?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.