Algorithms of Data Science (Spring 2025) - Session 6
The meeting covered various aspects of a data science project, including deadline extensions, model optimization techniques, and the introduction of Support Vector Machines (SVM). Yiqiao discussed strategies to improve model performance, such as increasing sample size, reducing dimensionality, and using learning rate schedulers, while emphasizing the importance of avoiding overfitting. The session also included an overview of upcoming topics in deep learning and neural networks, as well as guidance on utilizing different tools for project implementation and data creation.
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