01:198:461 Machine Learning Principles (TA)
Recitation, Rutgers University, 2025
Machine Learning Principles (01:198:461, Sec. 06) surveys core ML foundations: linear/logistic regression, regularization, decision trees/forests, probabilistic models, kernels/SVMs, and an introduction to deep learning (CNNs, RNNs/LSTMs, Transformers).