General Information
- Lectures Instructor: Chi-Jen Wu (吳齊人)
- Section: Thu 09:10 - 12:00 & Thu 14:10 - 17:00
- Classroom: TBA
- Course Assistants: TBA
- Office Hour: TBA
- Lecture Slides: https://el.cgu.edu.tw/
- Others: https://csiecgu.slack.com
- Your health matters.
- Feel free to stop by my office, I look forward to meeting and assisting you.
Info & Objectives
This introductory course is about a variety of ways to represent human languages for Computer Science (CS) undergraduate students. This course will introduce students to the basics of Natural Language Processing (NLP). The students will gain the ability to exploit languages representations to write programs based on the modern data-driven techniques. This course will include some ideas, including Machine Learning and the recent Deep Learning. There will be an emphasis on rapid prototyping, a useful skill in many other areas.
Topics
Topics covered include:
- Web crawling and indexes
- Language modeling
- Representation learning
- Word Embeddings
- Text classification
- Sequence modeling
- Machine learning models
- Deep learning models
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