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Text Handling: Matrix, Documents, Topics
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Related lectures (45)
Words Tokens: Lexical Level Overview
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Explores words, tokens, and language models in NLP, covering challenges in defining them, lexicon usage, n-grams, and probability estimation.
Neuro-symbolic Representations: Commonsense Knowledge & Reasoning
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Delves into neuro-symbolic representations for commonsense knowledge and reasoning in natural language processing applications.
Matrix Operations: Transposition, Rank, and Basis Change
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Covers matrix transposition, rank, and basis change in linear algebra, exploring invertibility criteria and basis relationships.
Machine Learning: Supervised and Unsupervised Learning Techniques
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Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.
Information Extraction: Methods and Applications
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Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
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