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Machine Learning: Perceptrons and Logistic Regression (CS 188)

Pieter AbbeelUC Berkeley

Professor

1:25:00·2018·undergraduate level

This session delves into linear classifiers, specifically perceptrons and logistic regression. It explains weight updates for training, multiclass extensions, and the properties and limitations of these models.

AI & MLPerceptronsLogistic RegressionLinear ClassifiersMachine Learning Training

COMPSCI 188, LEC 001 - Fall 2018

COMPSCI 188, LEC 001 - Pieter Abbeel, Daniel Klein

Copyright @2018 UC Regents; all rights reserved

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Machine Learning: Naive Bayes (CS 188)

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Machine Learning: Optimization and Neural Networks (CS 188)

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