The Data Skeptic Podcast features interviews and discussion of topics related to data science, stati
Linhda and Kyle talk about Decision Tree Learning in this miniepisode. Decision Tree Learning is th
Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evide
Our topic for this week is "noise" as in signal vs. noise. This is not a signal processing discussi
Our guest this week is Susan Gerbic. Susan is a skeptical activist involved in many activities, the
In this week's mini episode, Linhda and Kyle discuss Ant Colony Optimization - a numerical / stochas
Our guest this week is Shahid Shah. Shahid is CEO at Netspective, and writes three blogs: Health Car
This miniepisode discusses the technique called Cross Validation - a process by which one randomly d
This episode features a discussion with statistics PhD student Zach Seeskin about a project he was i
This episode loosely explores the topic of Experimental Design including hypothesis testing, the imp
In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay
In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most lik
In the second full length episode of the podcast, we discuss the current state of personalized medic
In this mini, we discuss p-values and their use in hypothesis testing, in the context of an hypothet
A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand
In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii err
The Data Skeptic Podcast features conversations with topics related to data science, statistics, mac
