Auburn University has recently hosted poster presentations on April 22 at Broun Hall, featuring innovative projects by students enrolled in an advanced course on machine learning. This semester, the interdisciplinary course, Applied Statistics and Machine Learning (ELEC 5970 6970 600), includes 23 Auburn students alongside nine participants from Tuskegee University. It emphasizes practical experience with various machine learning algorithms, including K nearest neighbor and neural networks.
Carson Easterling, an electrical engineering senior, is one of the students preparing for graduate school by taking this course, which is co-directed by Yin Sun from Auburn and Rui Chen from Tuskegee. Easterling noted the importance of understanding the fundamentals of artificial intelligence models to create complex data-driven models. Sun highlighted the course's role in broadening perspectives on AI applications, indicating that all sectors in Alabama will increasingly require AI skills.
As part of the curriculum, students engage with both traditional and advanced machine learning techniques, with projects focusing on real-world applications such as AI for agriculture and robotics. Sun anticipates a rise in the relevance of AI across various industries, reinforced by ongoing collaborations with NVIDIA and faculty from both universities.