sp26-cs639 lecturesupervised-learninglinear-modelsneural-networkscs639
Lecture 2: Machine Learning Review Lecture 2: Machine Learning Review
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General Supervised Learning Review
Formal Setup
Objects
Classification vs. Regression
Hypothesis/Function Classes
Training
Train vs Test
Linear Models
Linear Regression Setup
Finding The Estimated Parameters
Logistic Regression
Neural Networks
Perceptron
Multi-Layer Perceptron
Matrix Notation
K-Way Classification
Softmax
More Complicated Neural Networks
Training a Neural Network
Binary Classification
Multiclass Classification