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PODCAST

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.

technology mathematics

All Episodes

11:30

[MINI] Confidence Intervals

Data Skeptic ·

2014/09/26

Commute times and BBQ invites help frame a discussion about the statistical concept of confidence intervals.

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14:10

[MINI] Value of Information

Data Skeptic ·

2014/09/19

A discussion about getting ready in the morning, negotiating a used car purchase, and selecting the best AirBnB place to stay at help frame a conversation about the decision theoretic principal known as the Value of Information equation.

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47:28

Game Science Dice with Louis Zocchi

Data Skeptic ·

2014/09/17

In this bonus episode, guest Louis Zocchi discusses his background in the gaming industry, specifically, how he became a manufacturer of dice designed to produce statistically uniform outcomes. During the show Louis mentioned a two part video listeners might enjoy: part 1 and part 2 can both be found on youtube. Kyle mentioned a robot capable of unnoticably cheating at Rock Paper Scissors / Ro Sham Bo. More details can be found here. Louis mentioned dice collector Kevin Cook whose website

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31:25

Data Science at ZestFinance with Marick Sinay

Data Skeptic ·

2014/09/12

Marick Sinay from ZestFianance is our guest this weel. This episode explores how data science techniques are applied in the financial world, specifically in assessing credit worthiness.

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13:29

[MINI] Decision Tree Learning

Data Skeptic ·

2014/09/05

Linhda and Kyle talk about Decision Tree Learning in this miniepisode. Decision Tree Learning is the algorithmic process of trying to generate an optimal decision tree to properly classify or forecast some future unlabeled element based by following each step in the tree.

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49:49

Jackson Pollock Authentication Analysis with Kate...

Data Skeptic ·

2014/08/29

Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evidence for the claim that drip paintings of Jackson Pollock contain fractal patterns. This hypothesis originates in a paper by Taylor, Micolich, and Jonas titled Fractal analysis of Pollock's drip paintings which appeared in Nature. Kate and co-author Harsh Mathur wrote a paper titled Revisiting Pollock's Drip Paintings which also appeared in Nature. A full text PDF can be found here, but lacks the

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16:04

[MINI] Noise!!

Data Skeptic ·

2014/08/22

Our topic for this week is "noise" as in signal vs. noise. This is not a signal processing discussions, but rather a brief introduction to how the work noise is used to describe how much information in a dataset is useless (as opposed to useful). Also, Kyle announces having recently had the pleasure of appearing as a guest on The Conspiracy Skeptic Podcast to discussion The Bible Code. Please check out this other fine program for this and it's many other great episodes.

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01:09:59

Guerilla Skepticism on Wikipedia with Susan Gerbic

Data Skeptic ·

2014/08/15

Our guest this week is Susan Gerbic. Susan is a skeptical activist involved in many activities, the one we focus on most in this episode is Guerrilla Skepticism on Wikipedia, an organization working to improve the content and citations of Wikipedia. During the episode, Kyle recommended Susan's talk a The Amazing Meeting 9 which can be found here. Some noteworthy topics mentioned during the podcast were Neil deGrasse Tyson's endorsement of the Penny for NASA project. As well as the Web of

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15:07

[MINI] Ant Colony Optimization

Data Skeptic ·

2014/08/08

In this week's mini episode, Linhda and Kyle discuss Ant Colony Optimization - a numerical / stochastic optimization technique which models its search after the process ants employ in using random walks to find a goal (food) and then leaving a pheremone trail in their walk back to the nest. We even find some way of relating the city of San Francisco and running a restaurant into the discussion.

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57:14

Data in Healthcare IT with Shahid Shah

Data Skeptic ·

2014/08/01

Our guest this week is Shahid Shah. Shahid is CEO at Netspective, and writes three blogs: Health Care Guy, Shahid Shah, and HitSphere - the Healthcare IT Supersite. During the program, Kyle recommended a talk from the 2014 MIT Sloan CIO Symposium entitled Transforming "Digital Silos" to "Digital Care Enterprise" which was hosted by our guest Shahid Shah. In addition to his work in Healthcare IT, he also the chairperson for Open Source Electronic Health Record Alliance, an non-profit organization

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0:00

[MINI] Cross Validation

Data Skeptic ·

2014/07/25

This miniepisode discusses the technique called Cross Validation - a process by which one randomly divides up a dataset into numerous small partitions. Next, (typically) one is held out, and the rest are used to train some model. The hold out set can then be used to validate how good the model does at describing/predicting new data.

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33:29

Streetlight Outage and Crime Rate Analysis with Zach...

Data Skeptic ·

2014/07/18

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 relationship (if any) between streetlight outages and crime in the City of Chicago. We discuss how the data was accessed via the City of Chicago data portal, how the analysis was done, and what correlations were discovered in the data. Won't you listen and hear what

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15:43

[MINI] Experimental Design

Data Skeptic ·

2014/07/11

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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49:59

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

Data Skeptic ·

2014/07/07

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 array of tools available.

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11:24

[MINI] Bayesian Updating

Data Skeptic ·

2014/06/27

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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57:14

Personalized Medicine with Niki Athanasiadou

Data Skeptic ·

2014/06/20

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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16:36

[MINI] p-values

Data Skeptic ·

2014/06/13

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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01:16:29

Advertising Attribution with Nathan Janos

Data Skeptic ·

2014/06/06

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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11:01

[MINI] type i / type ii errors

Data Skeptic ·

2014/05/30

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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03:56

Introduction

Data Skeptic ·

2014/05/23

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 veracity of claims and efficacy of approaches. This first episode is a short discussion about what this podcast is all about.

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