Have you ever been amazed by how streaming platforms seem to know exactly what movies or songs you’ll love, or how online stores perfectly group products you’re interested in?
This isn’t just coincidence—it’s the power of Unsupervised Learning at work. Without any specific instructions, this branch of machine learning can uncover hidden patterns in massive amounts of data, making those tailored suggestions you see every day possible. Whether you’re looking to build smarter tools for your business or simply want to understand the AI that’s shaping our world, this knowledge gives you a cutting edge in today’s fast-paced digital landscape.

What you will learn:
- The basics of Unsupervised learning
- Probabilistic Model
- Principal Component Analysis (PCA)
- Clustering
- Deep Learning, which will cover GAN and Self-supervised learning.

Prerequisites:
- This course is designed for everyone. No prior knowledge is required.

Recommended prior course:
- Computational Mathematics: Discrete Mathematics
- Computational Mathematics: Probability
- Computational Mathematics: Linear Algebra
- Applications of Artificial Intelligence: Theories and Innovations
- Basic Programming with Python for Artificial Intelligence
- Advanced Programming with Python Libraries for Artificial

Course type:
This is a core course (C) 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 60% of the grade, 2) Final Exam, which accounts for 40% 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:
Dr. Sanparith Marukatat
Currently, Dr. Sanparith is a head of Image Processing and Understanding Team, National Electronics and Computer Technology Center (NECTEC). He has academic expertise in various fields including Computer Vision, Machine Learning, Information Retrieval, Image Processing, Signal Processing, and Speech/Pattern Recognition.

Dr. Sanparith completed his Bachelor’s degree in Computer Science, Franche-Comte University, Master’s degree in Computer Science, Franche-Comte University, and Ph.D. in Computer Science, The Paris 6 University.