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Traditional Methods for Similarity Search - Jaccard, W-Shingling, Levenshtein

Offered By: James Briggs via YouTube

Tags

Similarity Search Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses

Course Description

Overview

Explore three traditional approaches for comparing languages and identifying similar documents in this 25-minute video on similarity search. Learn about Jaccard Similarity, w-shingling, and Levenshtein distance as fundamental techniques for building effective search engines. Gain insights into the rapidly growing domain of AI and machine learning, focusing on the process of matching relevant pieces of information. Discover practical applications and theoretical foundations of these methods, supported by references to additional resources and a comprehensive syllabus. Enhance your understanding of similarity search concepts and their implementation in natural language processing and information retrieval systems.

Syllabus

3 Traditional Methods for Similarity Search (Jaccard, w-shingling, Levenshtein)


Taught by

James Briggs

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