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Vector Space Semantics (and Information Retrieval)
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Related lectures (41)
Word Embeddings: Models and Learning
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Explores word embeddings, context importance, and learning algorithms for creating new representations.
Latent Semantic Indexing
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Covers Latent Semantic Indexing, a method to improve information retrieval by mapping documents and queries into a lower-dimensional concept space.
Information Retrieval: Basics and Techniques
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Introduces the basics of Information Retrieval, covering indexing, weighting schemes, cosine similarity, and query evaluation.
Latent semantic indexing: inverted files
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Explores term-offset indices in inverted files and relevance feedback solutions.
Polynomials: Operations and Properties
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Explores polynomial operations, properties, and subspaces in vector spaces.
Text Models: Word Embeddings and Topic Models
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Explores word embeddings, topic models, Word2vec, Bayesian Networks, and inference methods like Gibbs sampling.
Optimization in Machine Learning
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Explores optimization techniques, word embeddings, and recommendation systems in machine learning.
Untitled
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Latent Semantic Indexing: Concepts and Applications
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Explores latent semantic indexing, vocabulary construction, document matrix creation, query transformation, and document retrieval using cosine similarity.
Word Embeddings: Glove and Semantic Relationships
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Explores word embeddings, Glove model, semantic relationships, subword embeddings, and syntactic relationships.
Information retrieval: vector space
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Covers the basics of information retrieval using vector space models and practical exercises on relevance feedback and posting list scanning.
Linear Independence and Bases
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Covers linear independence, bases, and coordinate systems with examples and theorems.
Linear Algebra: Quantum Mechanics
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Explores the application of linear algebra in quantum mechanics, emphasizing vector spaces, Hilbert spaces, and the spectral theorem.
Orthogonal Subspace: Vector Space
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Explores the orthogonal subspace in a vector space, demonstrating its properties and dimension determination.
Linear Algebra: Vector Subspaces and Combinations
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Explores vector subspaces and linear combinations in linear algebra, focusing on the reciprocal relationship between lines, columns, and elements.
Geometry: Geometric Computing
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Covers fundamental concepts in geometric computing, exploring stability, vector spaces, barycentric coordinates, and triangle meshes.
General Group Actions
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Explores group actions on spaces, including fixed points and non-trivial actions.
Keyphrase Extraction
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Covers keyphrase extraction, a method to extract important phrases from text for document summarization, indexing, and search.
Linear Algebra: Systems of Linear Equations
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Introduces linear algebra concepts, focusing on solving systems of linear equations and their representations.
Physics Scales and Measurements
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Explores physics scales, measurements, historical definitions of meter and kilogram, time definition, and scalars and vectors.
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