
AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Ecological Modeling Techniques and Genetic Analysis
This chapter explores various modeling techniques for ecological analysis, focusing on the advantages of random forest analysis for its interpretability. It discusses the complexities of working with incomplete biological datasets and the importance of incorporating phylogenetic considerations in data imputation. The conversation also highlights how genetic data can deepen our understanding of biodiversity and evolutionary relationships, emphasizing the influence of geographic and environmental factors on genetic variation.
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