|Introduction to Machine Learning||Book||
Description: The author's "intention was to pursue a middle ground between theory and practice. The notes concentrate on the important ideas in machine learning---it is neither a handbook of practice nor a compendium of theoretical proofs. My goal was to give the reader sufficient preparation to make the extensive literature on machine learning accessible."
Author(s): Nilsson, Nils J.
License: Some Restrictions (includes GNU)
Price: free online
URL: http://ai.stanford.edu/ ~nilsson/ mlbook.html
Limitations: This is an early draft of a proposed textbook by Nils J. Nilsson of the Robotics Laboratory at Stanford University. Copyright date is 1996.
ReviewText: Contents include:
Keywords: programming , neural networks , machine learning , decision trees , backpropagation , statistical learning , inductive logic programming , computational learning theory
Submitter: EE HomePage Editorial Staff
xml_ID: 1148177488 (single entry page)
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