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Detailed Course Information

 

Fall 2018
Sep 22, 2018
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COSC 878 - Lrg Scl Stat Mach Lrng
This doctoral seminar studies topics in statistical machine learning in the age of big data and artificial intelligence. In the seminar, we will read both classical and recent work in supervised learning, nonparametric models, optimization, and deep reinforcement learning. In the class, we will read textbooks and survey milestone papers. Students are expected to submit questions for the readings before each class and give presentations when it is their turns. To have first-hand experience, students are also expected to do a few programming exercises in the textbooks.

2.000 Credit hours
2.000 Lecture hours

Levels: MN or MC Graduate
Schedule Types: Lecture, Seminar

Computer Science Department

Restrictions:
Must be enrolled in one of the following Programs:     
      PHD in Computer Science

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