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Natural Language Processing | Online Masters Course - UT Austin

UT Austin

Comprehensive online NLP course covering sentiment analysis, neural networks, word embeddings, and transformer language modeling. Includes hands-on coding assignments.

University CoursesNatural Language ProcessingPythonTensorFlow

Introduction

These are the course materials for an online masters course in NLP. All lectures are videos available on YouTube.

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Highlights

  • Covers a wide range of topics in natural language processing, including linear sentiment classification, feedforward neural networks, word embeddings, and transformer language modeling
  • Includes hands-on assignments with code and dataset downloads
  • Provides access to lecture videos and slides for self-paced learning

Recommendation

This course is recommended for students and professionals interested in natural language processing and its applications. It provides a comprehensive overview of key NLP techniques and practical experience through coding assignments.

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