Interpretability in AI
In this course, “Interpretability in AI”, you will learn about various interpretable and explainable machine learning algorithms, a branch of machine learning and AI. This course covers everything you need […]
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Parallelism in Deep Learning
In this course, “Parallelism in Deep Learning,” you will learn about the need for parallelism in deep learning and how to use different methods of parallelism in deep learning. You […]
TrAC Seminar Series – Lindsey Raymond
Detail Date: March 4, 2025 Time: 1:00 PM - 2:00 PM CT Location: https://iastate.zoom.us/j/92613276601?pwd=FOstCb1ZxfzUlSbCtn0B8TN9ahvJFl.1 Title: Generative AI at Work Abstract We study the staggered introduction of a generative AI-based conversational […]