Data Skeptic Bonus Feed: Recent Episodes
Kyle Polich, Data Scientist
In this episode, Kyle interviews skeptical author Robert Sheaffer on the topic of UFOs. Robert shares his research into the history of this subject, the cultural implications, and a few noteworthy events and personalities in the UFO folklore.
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 10 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 9 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 8 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 7 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 6 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 5 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 4 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 3 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 2 of 10
A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 1 of 10
This is the uncut version of my interview with Bruce Wilcox from our episode on The Loebner Prize.
This is the uncut version of my interview with Charlie Maloney from our episode on The Loebner Prize.
In this episode I catch up with Paige Bailey and Seth Juarez from Microsoft regarding how Microsoft is working on empowering developers to include artificial intelligence in their applications.
In this episode, I discuss the process with Tobias Ternström. We have a detailed discussion about the questions a practioneer would have when considering how they might use SQLServer as the right tool for their production machine learning model deployments.
Discussion of database as a service, database migration, threat detection, R/python in SQL Server, and use cases
This episode is from the Data Skeptic archives. I spoke to Ang Nuygen back in 2015 about his paper "Deep Neural Networks are Easily Fooled". This is another great example of Adversarial Learning so we wanted to re-release this episode for anyone that missed it or wants a refresher.
Our recent episode Opinion Polling for Presidential Elections featured segments from an interview with Ernie Tedeschi. This post contains the full transcript for that interview conducted by Christine Zhang. The player below also contains a link to the full recording from the Data Skeptic Bonus Feed.
So what's the deal with the bonus feed? How does it relate to the main Data Skeptic podcast? Answers within!