The purpose of this course is to expose the student to several machine learning paradigms and provide in-depth understanding of selected methods.
Readings will be taken primarily from Mitchell's textbook on "Machine Learning." Some readings will be taken from individual papers. The readings will be posted on the course website. Students are expected to have completed the required readings by the beginning of class for which they are assigned.
Students will be required to complete several homework assignments. Homeworks will provide hands-on experience with selected learning methods and will test the student's understanding of topics discussed in class. Coding will be required.
Students will be required to complete two in-class exams. Exams will test the student's understanding of the concepts discussed in class and performed on the homeworks.
Each student will make a class presentation on one or more technical papers in the area of machine learning to be approved by the instructor. The presentation must demonstrate an indepth understanding of the topic, including background material from the paper's references, and provide a critical review. Longer papers tend to be more self-contained; whereas, shorter papers will require more auxiliary material.
The class project serves to further the student's understanding of one or more methods through an experimental or theoretical analysis of the learning methods. Details on the class project will be distributed in class.
Students will submit one-page critiques on selected papers.
Students are expected to attend all classes and actively participate in discussions.
Students are encouraged to use the internet and work with classmates on assignments. However, each student must turn in original work. No copying from other sources will be accepted. Students who violate this policy will receive a zero grade on the assignments in question and/or receive a failing grade for the course. Please talk to the instructor if you have questions about this policy. All academic integrity issues will be handled in accordance with university regulations. See academicintegrity.wsu.edu for details.
Students with Disabilities: Reasonable accommodations are available for students with a documented disability. If you have a disability and may need accommodations to fully participate in this class, please visit the Disability Resource Center (DRC). All accommodations MUST be approved through the DRC (Washington Building, Room 217). Please stop by or call 509-335-3417 to make an appointment with a disability specialist. More information can be found at www.drc.wsu.edu.