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| | Office Hours: | MW 11:00-12:00 and by appointment ... [at] cs.vassar.edu | ===== Course Coordinates ===== | Time (when) | MW 12:00-... | | Cyberspace | http://www.cs.vassar.edu/courses/cs366/top | \\ ---- \\ * **[[courses:cs366:syllabus | Syllabus]]** * **[[https://www.

syllabus

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actical Machine Learning Tools and Techniques]], Fourth Edition. * Lutz and Ascher, [[http://shop.ore... ing Python]], O'Reilly. == Software == In this course we will use Python, together with the Natural L... either familiar with Python already, or, due to your excellent preparation in the Vassar Computer Scie... d software already installed. If you want to use your own computer, you should install the following:

final-project

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is the main assignment of the second half of the course. Final projects can be done individually or in ... way to at least one of the central topics of the course. The main components are as follows: * ** I... t description (April 6)** -- a short overview of your project including at least the following informat... you have found in the literature) * The resources you will use (corpora, lexicons, etc.) and a c

schedule

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o GitHub classroom. The due date for each of the four large (graded) assignments (prefixed with "A") wi... p://www.cs.vassar.edu/~cs366/private/lectures/discourse.pdf|Discourse ]] |