Data Skeptic

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

https://dataskeptic.com

Eine durchschnittliche Folge dieses Podcasts dauert 25m. Bisher sind 299 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich
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This episode features a discussion with statistics PhD student Zach Seeskin about a project he was involved in as part of the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship.  The project involved exploring the...


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 2014-07-18  33m
 
 

[MINI] Experimental Design


This episode loosely explores the topic of Experimental Design including hypothesis testing, the importance of statistical tests, and an everyday and business example.


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 2014-07-11  15m
 
 

The Right (big data) Tool for the Job with Jay Shankar


In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar.  The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide...


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 2014-07-07  49m
 
 

[MINI] Bayesian Updating


In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence.


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 2014-06-27  11m
 
 

Personalized Medicine with Niki Athanasiadou


In the second full length episode of the podcast, we discuss the current state of personalized medicine and the advancements in genetics that have made it possible.


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 2014-06-20  57m
 
 

[MINI] p-values


In this mini, we discuss p-values and their use in hypothesis testing, in the context of an hypothetical experiment on plant flowering, and end with a reference to the Particle Fever documentary and how statistical significance played a role.


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 2014-06-13  16m
 
 

Advertising Attribution with Nathan Janos


A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of their marketing efforts (print, SEM, display, skywriting, etc.) contributes to their overall return.


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 2014-06-06  1h16m
 
 

[MINI] type i / type ii errors


In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives).


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 2014-05-30  11m
 
 

Introduction


The Data Skeptic Podcast features conversations with topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the...


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 2014-05-23  3m