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Débute 4 June 2026 05:33
Se termine 4 June 2026
Natural Language Processing: Foundations
University of Toronto
2 Cours
L'une des universités les plus prestigieuses au monde, l'U de T offre une éducation de classe mondiale, des recherches et une vie étudiante dans l'une des villes les plus dynamiques au monde.
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Aperçu
Explore the fascinating world of Natural Language Processing (NLP) in a comprehensive four-week course offered by the University of Toronto, available on edX. Dive deep into the realm of computer science that powers spell correction, social media curation, and translation services we use daily.
This course demystifies the complex processes behind Natural Language Processing, providing learners with a strong foundation in working with written language. By the end of the program, participants will be adept at creating text classification systems and generative text suggestion applications, akin to autocorrect features, leveraging both traditional methods and cutting-edge deep learning techniques.
Guided by an instructor team boasting over 30 years of NLP experience, students will benefit from the expertise of Min, a leading NLP researcher at NUS with a 20-year tenure and a robust portfolio of research in NLP, digital libraries, and information retrieval.
Min has also contributed significantly to the ACL, the leading global NLP research body. Chris, another key instructor, brings his rich experience in social media and text analysis to the table.
Currently teaching at NUS, Chris imparts knowledge on natural language processing, text and data mining, and database systems to both graduate and undergraduate students. Both instructors are celebrated for their exceptional teaching methodologies at NUS, with a history of strong student feedback and teaching awards in the NLP course.
Engage in this enlightening journey into the heart of NLP, and harness the power of language processing to build practical, everyday applications.
Category Tags:
Natural Language Processing (NLP) Courses.
Enseigné par
Min-Yen Kan and Christian von der Weth
