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This is homepage of Mausam, Professor at the Indian Institute of Technology (IIT) Delhi, Department of Computer Science. Mausam works in various subfields of Artificial Intelligence. He is also interested in hindustani classical music or Indian classical music.
Jul 25, 2023 · Course Contents. Introduction; philosophy of intelligent agents; uninformed search; heuristic search; local search; constraint satisfaction; logic and satisfiability; adversarial search; decision theory; Markov decision processes; Bayesian networks representation, inference and learning; reinforcement learning; basics of supervised, semi ...
Professor, Indian Institute of Technology Delhi Affiliate Professor, University of Washington, Seattle. Email: mausam@cse.iitd.ac.in, mausam@cs.washington.edu Website: http://www.cse.iitd.ac.in/~mausam.
COL772: Natural Language Processing -- Autumn 2021. Instructor: Mausam. (mausam at cse dot iitd dot ac dot in) Office hours: by appointment, SIT Building Room 402. TAs (Office hours, by appointment): Keshav Kolluru, keshavkolluru AT gmail.com. Vishal Saley, Vishal.Vivek.Saley AT cse.iitd.ac.in.
CSL 772 (Autumn'14): Graduate course on 'Natural Language Processing'. CSL 333/671 (Spring'14): Undergraduate (and Graduate Bridge) course on 'Artificial Intelligence'. CSE P573 (Autumn'12): Professional Masters Course on 'Applications of Artificial Intelligence'.
Jan 2, 2024 · Course Contents. NLP concepts: Tokenization, lemmatization, part of speech tagging, noun phrase chunking, named entity recognition, coreference resolution, parsing, information extraction, sentiment analysis, question answering, text classification, document clustering, document summarization, dialog systems, machine translation, multilinguality.
Course Contents. NLP concepts: Tokenization, lemmatization, part of speech tagging, noun phrase chunking, named entity recognition, coreference resolution, parsing, information extraction, sentiment analysis, question answering, text classification, document clustering, document summarization, dialog systems, machine translation, multilinguality.
Course Contents. NLP concepts: Tokenization, lemmatization, part of speech tagging, noun phrase chunking, named entity recognition, coreference resolution, parsing, information extraction, sentiment analysis, question answering, text classification, document clustering, document summarization, dialog systems, machine translation, multilinguality.
Mausam Professor, Jai Gupta Chair Ph.D. (University of Washington, Seattle) Artificial Intelligence, Natural Language Processing . mausam AT cse.iitd.ac.in . Khosla 402 +91 (11) 2659 6076 On leave 11.07.2024 – 18.07.2025
Course Contents. Asymptotic analysis (best case, worst case, average case, expected case, amortized), Linked lists, arrays, linear data structures (stacks, queues), tree data structures (priority queues, binary heaps, disjoint set union find), hashing, binary search trees, multiway search trees, sorting, graphs, shortest paths, minimum spanning ...
