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syllabus [2015/11/09 12:41]
anderson created
syllabus [2015/11/09 13:59]
anderson
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 ===== Time and Place ===== ===== Time and Place =====
 +
 +Class meets every Monday, Wednesday and Friday, 9:00 am - 9:50 in Clark Room A103.  On-campus and distance-learning students will be able to watch video recordings of lectures.
 +
 +===== Prerequisites =====
 +
 +CS320 with a grade of C or better.
 +
 +===== Textbook =====
 +
 +=== Required ===
 +
 +[[http://www.cmpe.boun.edu.tr/~ethem/i2ml3e/|Introduction to Machine Learning]], by Ethem Alpaydin, 3rd edition, MIT Press, 2014.
 +
 +
 +=== Optional ===
 +
 +On-line material is available on the course [[Resources]] web page.  Other books that may be helpful are listed here.
 +
 +[[http://shop.oreilly.com/product/0636920023784.do|Python for Data Analysis]], by Wes Kinney, O'Reilly Media, Inc., 2013.
 +
 +[[http://webdocs.cs.ualberta.ca/~sutton/book/the-book.html| Reinforcement Learning: An Introduction]], by Richard Sutton and Andrew Barto. On-line and free. You can also read the book through Morgan library. Visit [[http://catalog.library.colostate.edu/search~S5?/treinforcement+learning/treinforcement+learning/1%2C12%2C16%2CB/frameset&FF=treinforcement+learning+an+introduction&1%2C%2C3|this page]] and click on the “View electronic book” link.
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syllabus.txt · Last modified: 2020/12/06 10:37 by anderson