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courses:cs366:syllabus [2018/01/24 14:29]
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 == Other useful books and materials == == Other useful books and materials ==
  
 +  * Witten, I. H., Eibe, F., Hall, M.A. [[https://www.cs.vassar.edu/~cs366/docs/Data-Mining-Weka.pdf | Data Mining: Practical Machine Learning Tools and Techniques]], Third Edition.
   * Manning, C. and Schütze, H.  [[https://nlp.stanford.edu/fsnlp/ | Foundations of Statistical Natural Language Processing.]] MIT Press.   * Manning, C. and Schütze, H.  [[https://nlp.stanford.edu/fsnlp/ | Foundations of Statistical Natural Language Processing.]] MIT Press.
   * Lutz and Ascher, [[http://shop.oreilly.com/product/9780596002817.do | Learning Python]], O'Reilly.   * Lutz and Ascher, [[http://shop.oreilly.com/product/9780596002817.do | Learning Python]], O'Reilly.
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 == Grades == == Grades ==
  
-Grades will be determined on the basis of performance on four assignments (40%), a final project and presentation (50%), and class participation (10%). The [[courses:cs366:schedule|Schedule of Lectures, Readings, and Assignments]] contains links to assignments, lecture slides, and specifies due dates, etc. Information may also be disseminated via the [[<cs366@cs.vassar.edu> | CS366 mailing list]].+Grades will be determined on the basis of performance on four assignments (40%), a final project and presentation (50%), and class participation (10%). The [[courses:cs366:schedule|Schedule of Lectures, Readings, and Assignments]] contains links to assignments, lecture slides, and specifies due dates, etc. Information may also be disseminated via the [[https://groups.google.com/forum/#!forum/cs366-computational-linguistics-2018 | CS366 mailing list]].