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Grader for SI 670 Applied Machine Learning How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Upload your cover letter and resume to this Dropbox folder as a single file. Job Summary
Graders will be focused on evaluating weekly homework assignments under the guidance of the instructor and GSI and entering grades into Canvas. Assignments will contain a mix of short answers, multiple choice, and code. It will be helpful for applicants to have experience reading and understanding Python and a general understanding of machine learning concepts. Solutions and rubrics will be provided. Course Details
Students will learn how to correctly apply, interpret results, and iteratively refine and tune supervised and unsupervised machine learning models to solve a diverse set of problems on real-world datasets. Application is emphasized over theoretical content. More information about this course can be found on U-M’s Course Catalog via Wolverine Access. Responsibilities - Score objective examinations and papers at the undergraduate or graduate level
- Compute and record test scores
- Graders cannot have student interaction, teaching, or course development responsibilities.
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