Lectures related to Search engine (computing)

Explores translating natural language to propositional logic, Boolean search, logic puzzles, circuits, and Sudoku.

Propositional Logic: Applications and Translations

Explores applications of propositional logic, including translations and Boolean search for document queries.

Word Embeddings: Modeling Word Context and Similarity

Covers word embeddings, modeling word context and similarity in a low-dimensional space.

Word Embeddings: Models and Applications

Explores word embeddings, models like CBOW and Skipgram, Fasttext, Glove, subword embeddings, and their applications in document search and classification.

Introduction to Modern Natural Language Processing

Introduces the course on Modern Natural Language Processing, covering its significance, applications, challenges, and advancements in technology.