Challenges of Multidisciplinary Collaboration
Elizabeth discusses the challenges of bringing together different disciplines in deep learning and the importance of interpreting results and collaborating with domain scientists. She also highlights the benefits of working with geoscientists who are already trained as data scientists, making collaboration comfortable and fruitful.In this clip
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I have a question about the intersection of disciplines discussed in the episodes Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law and Building Bridges, Translating Communities
What are the challenges in machine learning as discussed in the episode Open Source Data Science Masters, Hybrid AI, Algorithmic Ethics & More with Clare Corthell - #1 and the clip Data Science Journey?
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