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Machine Learning: Naive Bayes (CS 188)

Pieter Abbeel UC Berkeley

Professor

1:25:00·2018·undergraduate level

This lecture introduces Machine Learning concepts through Naive Bayes classification. It covers computing probabilities from data, handling unseen events with Laplace smoothing, and evaluating generalization and overfitting.

AI & ML Statistical Learning & Causality Naive Bayes Classification Machine Learning

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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Particle Filtering (CS 188)

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Machine Learning: Perceptrons and Logistic Regression (CS 188)

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Part of course22 lectures

CS 188: Introduction to Artificial Intelligence

Prof. Pieter Abbeel

Uninformed and A* heuristic search, constraint satisfaction, adversarial minimax/expectimax games, Markov decision processes, reinforcement learning, Bayes nets, and particle filtering.

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