In today’s world filled with business competition, developing applications that use Machine Learning is essential. This includes processing large amounts of data to help analyze and gain deeper insights. By leveraging Machine Learning, we can predict customer needs, assess product quality, and gather crucial business information which can support better decision-making when creating new products and services that accurately and effectively meet customer demands. To harness this potential, we need to learn practical training in developing Machine Learning applications, which will help us understand the basic principles until we can apply Machine Learning in real data analysis, enhancing efficiency and value for businesses or services to better meet customer needs.

What you will learn:
- Data preprocessing 
- Introduction to RapidMiner Studio
- Machine learning algorithm
- Decision tree
- Artificial neural network

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

Recommended prior course:
- Applications of Artificial Intelligence: Theories and Innovations

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 30% of the grade, 2) Final Exam, which accounts for 70% 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:
Assoc. Prof. Dr. Warut Pannakkong
Currently, Dr. Warut holds a teaching position at School of Manufacturing System and Mechanical Engineering of the Sirindhorn International Institute of Technology, Thammasat University. He has academic expertise in various fields including Artificial intelligence in industrial applications, Time series forecasting, Computer vision for industry, Data mining, Machine learning, Production planning and optimization, Discrete-event systems simulation, Vehicle routing and scheduling, Logistics and supply chain management.

Dr. Warut completed his Bachelor’s degree in Industrial Engineering (1st Class Honors) from Sirindhorn International Institute of Technology (SIIT), Thammasat University, Master’s degree in Logistics and Supply Chain Systems Engineering from Sirindhorn International Institute of Technology (SIIT), Thammasat University and PhD in Knowledge Science, Japan Advanced Institute of Science and Technology, Japan.