Information Retrieval BasicsIntroduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.
Applied Machine LearningIntroduces applied machine learning concepts such as data collection, feature engineering, model selection, and performance evaluation metrics.
Probabilistic RetrievalCovers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.
Information Retrieval BasicsIntroduces the basics of information retrieval, covering document representation, query expansion, and TF-IDF for document ranking.
Information retrieval: vector spaceCovers the basics of information retrieval using vector space models and practical exercises on relevance feedback and posting list scanning.
