Data & Science with Glen Wright Colopy

Data & Science with Glen Wright Colopy

Por: Glen Wright Colopy
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”
89 episodios disponibles

Latest episodes of the podcast Data & Science with Glen Wright Colopy

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David Dunson | Advancing Statistical Science | Philosophy of Data Science 16/08/2021
Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks 02/08/2021
Jason Costello | Data Science vs Software, Academia vs Industry 19/07/2021
Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science 14/06/2021
Edward McFowland III | Anomalous Pattern Detection & Model Building 01/06/2021
Data Science Job Search | Advice + Q&A 26/05/2021
Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series 19/05/2021
Deborah Mayo | Statistics & Severe Testing vs Pseudoscience 13/05/2021
Kristin Morgan | The Data Science of Sports Injury 10/05/2021
Michael McRoberts | Football Analytics and Data-Driven Decisions 05/05/2021
Andrew Gelman & Megan Higgs | Statistics’ Role in Science and Pseudoscience 30/04/2021
Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science 27/04/2021
Science vs Pseudoscience | Neil Manson | Philosophy of Data Science 19/04/2021
Science vs Pseudoscience | Dien Ho | Philosophy of Data Science 07/04/2021
New Science vs Pseudoscience Series (+ Renaming the Podcast) 07/04/2021
Environmental Data Science | Career Q&A 11/03/2021
Data Science Career Q&A for Undergrads 25/02/2021
Philosophy of Data Science | Step-change and Anomaly Detection | Alex Bolton 16/02/2021
Irina Gaynanova | Replicating Clinical Metrics & Innovating New Methods 08/02/2021
Karel Moons | Validating Medical Predictive Models | Philosophy of Data Science 21/01/2021
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