Information Retrieval BasicsIntroduces the basics of information retrieval, covering document representation, query expansion, and TF-IDF for document ranking.
Probabilistic RetrievalCovers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.
Python Programming BasicsCovers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.
Handling Text: Document Retrieval, Classification, Sentiment AnalysisExplores document retrieval, classification, sentiment analysis, TF-IDF matrices, nearest-neighbor methods, matrix factorization, regularization, LDA, contextualized word vectors, and BERT.
