Data Science Events Calendar
Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
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Advanced Natural Language Processing for Industry: Theory and Practice (2024)
November 25 - November 29
Welcome to Advanced Natural Language Processing for Industry: Theory and Practice
Organiser: Assistant Professor, Chen Li, cl@mp.aau.dk
Lecturers:
Associate Professor, Dimitris Chrysostomou, Department of Materials and Production
Associate Professor, Thomas Ditlev Brunø, Department of Materials and Production
Associate Professor, Elizabeth Jochum, Department of Communication and Psychology
Associate Professor, Simon Bøgh, Department of Materials and Production
Assistant Professor, Chen Li, Department of Materials and Production
ECTS: 3
Time: 25th – 29th November 2024
Place: Aalborg University (please state venue: Aalborg)
Deadline: 4 November 2024
Max no. of participants: 20
Description:
The aim of this course is to equip PhD students with a comprehensive understanding of cutting-edge natural language processing (NLP) technologies and their application in real-world industrial settings. Solid understanding of these vital NLP techniques equips business and engineering PhD students with the necessary skills to leverage textual data effectively to solve the real-world problems, e.g., improving customer satisfaction, developing intelligent systems, and making data-driven decisions. This leads to success in today’s data-driven and language-driven industrial landscape. The topics covered here are text classification, named entity recognition, dialogue systems and applications of large language model (e.g. ChatGPT). In addition to theoretical knowledge, this course places a strong emphasis on practical implementation and problem-solving. Participants will engage in hands-on exercises, working with industry-standard tools and libraries. Participants will develop the ability to identify and solve NLP challenges specific to their respective fields. By the end of the course, participants will possess the skills necessary to navigate the rapidly evolving landscape of NLP technologies. They will have the ability to develop and deploy advanced NLP models to tackle complex language-related problems faced by businesses and industries.
Target Students:
The course will target PhD students in the fields of business and engineering from all the Danish universities and ideally from the universities all over the world. Industry professionals are also encouraged to participate. Maximum 20 students will be selected to attend the course.
Course Language:
The course will be given in English.
Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.
