This course consists of three parts: 1) the foundation of machine learning including its history and core algorithms; 2) the mainstream open platforms and sources for machine learning with an emphasis on practical applications; 3) case studies to illustrate how machine learning can be used to solve the problems from different fields. This course will equip students from different backgrounds with the essential knowledge about machine learning and practical algorithms, systems, and platforms available for solving real-world problems. For students enrolled in extended major programs only.