Prequisites for Time Series
Today's experimental episode uses sound to describe some basic ideas from time series. This episode includes lag, seasonality, trend, noise, heteroskedasticity, decomposition, smoothing, feature engin...
21 Mai 20218min
Orders of Magnitude
Today's show in two parts. First, Linhda joins us to review the episodes from Data Skeptic: Pilot Season and give her feedback on each of the topics. Second, we introduce our new segment "Orders of Ma...
7 Mai 202133min
They're Coming for Our Jobs
AI has, is, and will continue to facilitate the automation of work done by humans. Sometimes this may be an entire role. Other times it may automate a particular part of their role, scaling their effe...
3 Mai 202143min
Pandemic Machine Learning Pitfalls
Today on the show Derek Driggs, a PhD Student at the University of Cambridge. He comes on to discuss the work Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate...
26 Apr 202140min
Flesch Kincaid Readability Tests
Given a document in English, how can you estimate the ease with which someone will find they can read it? Does it require a college-level of reading comprehension or is it something a much younger st...
19 Apr 202120min
Fairness Aware Outlier Detection
Today on the show we have Shubhranshu Shekar, a Ph. D Student at Carnegie Mellon University, who joins us to talk about his work, FAIROD: Fairness-aware Outlier Detection.
9 Apr 202139min
Life May be Rare
Today on the show Dr. Anders Sandburg, Senior Research Fellow at the Future of Humanity Institute at Oxford University, comes on to share his work "The Timing of Evolutionary Transitions Suggest Intel...
5 Apr 202143min
Social Networks
Mayank Kejriwal, Research Professor at the University of Southern California and Researcher at the Information Sciences Institute, joins us today to discuss his work and his new book Knowledge, Graphs...
29 Mar 202149min
