Course Description:
Machine Learning and Data Mining is a research discipline in attempting to search through data for hidden relationships and patterns and worthy information using machine learning methods. This course is to offer an introduction to Machine Learning and Data Mining covering from mechanism, models, algorithm to some typical Machine Learning and Data Mining applications as well. The course Machine Learning and Data Mining covers the following interesting topics: a brief history of Machine Learning and Data Mining, research and philosophical questions faced by AI practitioners, representing and solving AI problems in a state space search formalism, heuristics, connectionism, and specific machine learning problems such as vision and natural language.
Course Objectives:
Through this course, students will understand the basic concepts of machine learning and data mining, master the basic principles and methods of machine learning and data mining, and inspire students' interest in machine learning and data mining, cultivation of knowledge and technological innovation capacity. Students applying machine learning and data mining techniques to improve the ability to analyse and solve complex problems.
Prerequisites:
Advanced Programming, Mathematical Logic
Evaluation:
Students will be graded on their understanding of the course as reflected in
their performance on the homework, class participation, examinations, and
projects as follows (approximately):
Homework 20% + Projects 40% + Final Exams 40%
Instructor:
Liqing Zhang, Prof.
Office: Room 3435, SEIEE Building
Tel: 34204423
Email: zhanglq@cs.sjtu.edu.cn
Bo Yuan, Ph.D., Prof.
Office: Room 3401, SEIEE Building
Phone: 13162115543
Email: boyuan@sjtu.edu.cn
