As you may already know, Lehigh CSE department in the process of hiring new faculty. Last Thursday, one of the candidate gave a seminar/lecture as part of the process. Lehigh students are faulty attended the seminar to help with the process. After the seminar, everyone filled out an evaluation sheet based on her seminar. The seminar was titled, “Memory-based reasoning, neighbors and recommendations” by Marina Barsky. It was informational and interesting topic on memory-based reasoning (MBR). MBR is basically the process of solving new problems based on result and experiment of past problems related to a certain domain. In her seminar, she presented a case study of determining the risk of issuing a loan to someone based on various criteria. The method she presented for this memory-based reasoning was K-Nearest Neighbor classifier design. Then she went into details of the design for this method. Overall, I gained some good knowledge and free pizza!
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