Natural Language Processing | Stanford University Course

Stanford University

Comprehensive lecture slides and materials on natural language processing fundamentals and advanced techniques from renowned experts at Stanford University.

University CoursesNatural Language Processing

Introduction

Lecture Slides from the 2012 Stanford Coursera course by Dan Jurafsky and Christopher Manning on Natural Language Processing.

screenshot

Highlights

  • Covers a wide range of topics in natural language processing, including text processing, language modeling, spelling correction, text classification, sentiment analysis, information extraction, and parsing.
  • Provides access to comprehensive lecture slides and materials from a top-tier university.
  • Taught by renowned experts in the field of natural language processing.

Recommendation

This course is highly recommended for anyone interested in learning about the fundamentals and advanced techniques in natural language processing. It is suitable for students, researchers, and professionals working in fields such as artificial intelligence, linguistics, and computational linguistics.

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Guide to Prompt Engineering

6
Technical TutorialsArtificial IntelligenceNatural Language Processing
Comprehensive course on prompt engineering for AI applications like ChatGPT. Covers fundamentals, advanced techniques, and practical strategies to master the art of effective prompting.

Text Processing in Python

16
Technical TutorialsNatural Language ProcessingPython
Comprehensive guide to working with text data in Python, covering string manipulation, regular expressions, text parsing, and natural language processing.

Unix for Poets | Text Analysis & Poetry

25
Technical TutorialsNatural Language ProcessingUnix
Learn Unix tools and techniques for text analysis and poetry. Explore dictionaries, corpora, and more to unlock the power of text data.

Deep Learning for Natural Language Processing | University of Oxford

18
University CoursesDeep LearningMachine LearningNatural Language Processing
Dive into the latest advancements in deep learning for NLP, including text analysis, speech recognition, language translation, and more. Gain a solid theoretical foundation and practical experience.

Deep Learning for Natural Language Processing | Stanford University

6
University CoursesDeep LearningMachine LearningNatural Language Processing
Dive deep into cutting-edge research in deep learning for natural language processing (NLP). Implement, train, and invent your own neural network models for a variety of NLP tasks.

Informatics 2A | Natural Language Processing | University of Edinburgh

0
University CoursesComputer VisionNatural Language Processing
Explore the processing of formal and natural languages, including finite automata, regular expressions, and parsing techniques. Hands-on labs and tutorials reinforce concepts.

Text Mining and Analytics | MOOC by ChengXiang Zhai

0
University CoursesData ScienceNatural Language Processing
Comprehensive course on text mining and analytics, covering fundamental concepts, practical applications, and real-world case studies. Taught by a renowned expert in the field.

Information Retrieval | Search Engine Optimization | Natural Language Processing

0
University CoursesData ScienceNatural Language Processing
Comprehensive course covering the core concepts and techniques of information retrieval, including text processing, indexing, ranking, and evaluation. Hands-on experience in building and evaluating information retrieval systems.

CMU Advanced NLP 2021 | Natural Language Processing, Language Models, Dialogue Systems

0
University CoursesMachine LearningNatural Language Processing
Dive into advanced NLP topics like language models, dialogue systems, and multimodal learning. Taught by renowned experts, this course provides in-depth insights into the latest advancements in natural language processing.