Machine Learning 101 P12: Decision tree + random forest in classification taskWe’ve explored how these algorithms are applied in regression models. If you missed that, here’s the link for reference. Now, let’s shift…1d ago1d ago
Machine Learning 101 P10: Kernel Support Vector Machine in Classification taskLinear SVM in classification task3d ago3d ago
Machine Learning 101 P9: K-nearest neighbors (kNN)K-Nearest Neighbors (K-NN) is a type of lazy learning, where the function is only approximated locally and all computation is deferred…3d ago3d ago
Learn Large Language Model (LLM) basicsThis note provides a straightforward yet insightful review of the fundamental concepts of Large Language Models (LLMs).Jan 31Jan 31
Machine Learning 101 P4: Polynomial Linear Regression (a special case of Linear Regression)IntroductionJan 3Jan 3
