The TaCS Mathematical Seminar Series No.18 continued with inspiring talks that explored the intersection of machine learning and optimization. Prof. Dr. Rabian Wangkeeree presented an insightful lecture on “Neural Networks for Convex Optimization: Historical Review and Analysis”, providing participants with a comprehensive understanding of how neural network models have evolved to tackle optimization challenges.
The session was followed by Dr. Yirga Abebe Beley, who delivered an engaging talk on “Machine Learning: A Method for Solving Support Vector Machine Problems.” His presentation highlighted the power of machine learning approaches in addressing complex classification and optimization tasks, offering valuable perspectives that connect theoretical principles with real-world applications.
