Syllabus and all the other logistics for this course are here: 282BR_Details
Prerequisites: Students are expected to be fluent in basic linear algebra, probability, algorithms, and machine learning (at the level of CS181). Students are also expected to have programming and software engineering skills to work with data sets using Python, numpy, and sklearn.
The syllabus page shows a table-oriented view of the course schedule, and the basics of course grading. You can add any other comments, notes, or thoughts you have about the course structure, course policies or anything else.
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