The Data Skeptic Podcast features interviews and discussion of topics related to data science, stati
Certain data mining algorithms (including k-means clustering and k-nearest neighbors) require a user
Today on Data Skeptic, Lachlan Gunn joins us to discuss his recent paper Too Good to be True. This
How well does your model explain your data? R-squared is a useful statistic for answering this quest
Jessica Hamrick joins us this week to discuss her work studying mental simulation. Her resear
This episode is a discussion of multiple regression: the use of observations that are a vector of
Samuel Mehr joins us this week to share his perspective on why people are musical, where music comes
This episode reviews the concept of k-d trees: an efficient data structure for holding multidimensio
Algorithms are pervasive in our society and make thousands of automated decisions on our behalf ever
Today's episode begins by asking how many left handed employees we should expect to be at a company
A recent paper in the journal of Judgment and Decision Making titled On the reception and detection
Today's mini episode discusses the widely known optimization algorithm gradient descent in the conte
This episode is a discussion of data visualization and a proposed New Year's resolution for Data Ske
Today's episode is a reading of Isaac Asimov's The Machine that Won the War. I can't think of a sto
In this interview with Aaron Halfaker of the Wikimedia Foundation, we discuss his research and caree
Today's topic is term frequency inverse document frequency, which is a statistic for estimating the
Early astronomers could see several of the planets with the naked eye. The invention of the telescop
Today's episode discusses the accuracy paradox. There are cases when one might prefer a less accurat
... or should this have been called data science from a neuroscientist's perspective? Either way, I'
A discussion of the expected number of cars at a stoplight frames today's discussion of the bias var
The recent opinion piece Big Data Doesn't Exist on Tech Crunch by Slater Victoroff is an interesting
