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ai deep-dive Reading Stanford CS124

CS124 Week 3 Logistic Regression and Text Classification: From Features to Probability and Loss

Week 3 connects text features, sigmoid probabilities, cross-entropy loss, and gradient descent, producing a classifier whose feature contributions remain inspectable.

#cs124#stanford#nlp#logistic-regression#text-classification
learning guide Berkeley CS288 Spring 2026

Berkeley CS288 Part 1: From N-grams and Word Representations to Text Classification

The first four units make text countable, representable, and classifiable; A1 then moves from n-grams and perceptrons to an NBOW MLP.

#berkeley#cs288#nlp#language-model#text-classification