This course is about emerging technologies and methods in information and data science; change of technology. Students will learn about Machine Learning using Python as a main tool. Superviased and Unsupervised learning algorithms will be covered. Deep learng such as Dense Neural Network, Convolutoinal Neural Network (DNN), Recurrent Neural Network (RNN), Long Short-Term memory (LSTM), Gated Recurrent Unit (GRU), and Reinforemence Learning will be also covered. The course will also gives some examples machine learning applications including image classification, time series prediction, and natural language processing.
Dean of the Faculty of Information Technology
Phayung Meesad received Bachelor of Science in Technical Education (Teacher Training in Electrical Engineering) from King Mongkut's University of Technology North Bangkok in 1994. He received Master of Science and Doctoral of Philosophy in Electrical and Computer Engineering from Oklahoma State University, Stillwater, USA in 1998 and 2002, respectively. His research areas of interest are Data Science, Data Mining, Data Analytics, Computational Intelligence, Artificial Intellience, Machine Learning, Deep Learning, Digital Signal Processing, Image Processing, Time Series Analysis, and Natural Language Processing.
The Faculty of Information Technology and Digital Innovation, King Mongkut’s University of Technology North Bangkok,
The Bachelor of Science in Information for Digital Economy (International Program) (I-BIT), Faculty of Information
Faculty of Information Technology, King Mongkut’s University North Bangkok organized the 15th International Conference and
BS and MS students from the Faculty of Information Technology joined Teacher Respect Day on