70 min listen
HMMs for Behavior
FromData Skeptic
ratings:
Length:
45 minutes
Released:
May 20, 2024
Format:
Podcast episode
Description
Théo Michelot has made a career out of tackling tough ecological questions using time-series data. How do scientists turn a series of GPS location observations over time into useful behavioral data? GPS tech has improved to the point that modern data sets are large and complex. In this episode, Théo takes us through his research and the application of Hidden Markov Models to complex time series data. If you have ever wondered what biologists do with data from those GPS collars you have seen on TV, this is the episode for you!
Released:
May 20, 2024
Format:
Podcast episode
Titles in the series (100)
Guerilla Skepticism on Wikipedia with Susan Gerbic: 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... by Data Skeptic