Published May 20, 2024

HMMs for Behavior

Explore the innovative use of Hidden Markov Models and deep learning in animal behavior research with Théo Michelot, as he delves into the challenges and breakthroughs in ecological data analysis and highlights the importance of interdisciplinary collaboration for uncovering complex environmental interactions.

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Episode Highlights

Data Analysis TechniquesThéo Michelot explores the use of statistical methods, particularly Hidden Markov Models, in modeling animal movement and behavior. He discusses the potential of deep learning in ecological research, highlighting its current applications and future possibilities.

Data Analysis Techniques

Ecological Data InsightsThéo Michelot discusses the challenges and innovations in collecting and analyzing large-scale ecological data. He highlights the role of interdisciplinary collaboration in advancing ecological research through the use of high-resolution data and statistical models.

Ecological Data Insights

Hidden Markov Models

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