Cpsc 340 Feature Selection

Summary

Slides at ubc-cs.github.io/cpsc340/lectures/L15.pdf?raw=1 Camera operated by Tanner Johnson. Content based on ... Linear Classifiers, Perceptron. More Regularization, RBF video, RBF and Regularization video. Probabilistic Classifiers: Conditional probability, Naive Bayes, Probabilities and Battleship cs.ubc.ca/~fwood/CS340/ Full source code on GitHub: github.com/marcopeix/youtube_tutorials/blob/main/YT_01_feature_selection.ipynb Introduction ... This video is part of the "Artificial Intelligence and Machine Learning for Engineers" course offered at the University of California, ... Decision Trees, Entropy cs.ubc.ca/~fwood/CS340/ Non-parametric models: K-nearest neighbors, Decision Theory for Darts, Norms cs.ubc.ca/~fwood/CS340/ Least Squares, Linear Regression, Least Squares, Essence of Calculus, Partial Derivative, Gradient ... Fundamentals of ML: 7 Steps of Machine Learning, IID, Cross-validation, Bias-variance, No Free Lunch ... Exploratory data analysis, Visualization Types, Google Chart Gallery, Other tools.