OXFORD UNIVERSITY COMPUTING LABORATORY

Machine Learning


Primary Text

  • T.M. Mitchell, Machine Learning, McGraw-Hill, 1997.
  • M. Negnevitsky, Artificial Intelligence - A Guide to Intelligent Systems, Addison Wesley, London, 2001 (or later edition).

Reading List

  • I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 2000.
  • S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, 1995.
  • B.D. Ripley, Pattern Recognition and Neural Networks, Cambridge University Press, 1996.
  • C.M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
  • T. Hastie, R. Tibshirani and J.H. Friedman, The Elements of Statistical Learning, Springer 2001.


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