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Logistic Regression and Natural Language Processing - Tokenization and BPE

UofU Data Science via YouTube

Overview

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Learn about logistic regression and natural language processing concepts in this comprehensive lecture that covers fundamental machine learning and text analysis topics. Explore the mathematical foundations and applications of logistic regression for binary classification problems, followed by an in-depth discussion of text tokenization techniques and key linguistic terminology. Conclude with a detailed examination of Byte Pair Encoding (BPE), an important algorithm for subword tokenization used in modern natural language processing systems.

Syllabus

Lecture starts
Logistic regression
Tokenization & terms from linguistics
BPE

Taught by

UofU Data Science

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