รายละเอียดคอร์ส
Establish a strong foundation in Natural Language Processing (NLP). Discover how to harness its power to develop cutting-edge solutions that drive meaningful results.
One of the most transformative fields driving global change is Natural Language Processing or NLP. This technology enables computers to understand and interact with humans through everyday language. From language translation and text summarization to automated conversations and smart text analysis, NLP applications are everywhere. These innovations not only bridge the communication gap between humans and machines but also play a vital role in business and services. In this course, you'll establish a strong foundation in NLP, discovering how to harness its power to develop cutting-edge solutions that drive meaningful results.
What you will learn:
- Levels of NLP
- Applications of NLP
- NLP as Search Problems
- Sequence Prediction, and
- Deep Learning in NLP
Prerequisites:
This course is designed for everyone. No prior knowledge is required.
Course type:
This is a elective course (E) in the Master of Engineering program in Artificial Intelligence and Internet of Things (International Program) offered by Thammasat University and SkillLane.
Grading Criteria:
This course consists of 1) Quizzes, which account for 45% of the grade, and 2) Final Exam, which accounts for 55% of the grade. Grades will be assigned based on the following scheme:
A 90-100
A- 85-89.99
B+ 80-84.99
B 75-79.99
B- 70-74.99
C+ 65-69.99
C 60-64.99
D 50-59.99
F 0-49.99
Instructor Background:
Prachya boonkwan (Phd.)
Currently, Dr. Prachya holds holds a teaching position at School of Information, Computer, and Communication Technology (ICT) of the Sirindhorn International Institute of Technology, Thammasat University. He has academic expertise in various fields including Natural language processing, Computational linguistics, Machine learning and Deep learning.
Dr. Prachya completed his Bachelor’s degree in Computer Engineering at Kasetsart University, Master’s degree in Computer Engineering at Kasetsart University, and Ph.D. in Informatics at The University of Edinburgh
เนื้อหาของคอร์ส
ผู้สอน
Prachya boonkwan (Phd.)
ไปที่หน้าผู้สอนมหาวิทยาลัยธรรมศาสตร์
ไปที่หน้าผู้สอนSirindhorn International Institute of Technology
ไปที่หน้าผู้สอน