I've developed an open textbook on probability and statistics for
computer science students, which you can access at
http://heather.cs.ucdavis.edu/~matloff/probstatbook.html
Here is an excerpt from the blurb at that site:
# The materials here form a textbook for a course in mathematical
# probability and statistics for computer science students.
#
# "Why is this course different from all other courses?"
#
# * Computer science examples are used throughout, in areas such
# as: computer networks; data and text mining; computer security;
# remote sensing; computer performance evaluation; software
# engineering; data management; etc.
#
# * The R statistical/data manipulation language is used
# throughout.
#
# * Throughout the units, theory and applications are interwoven,
# with a strong emphasis on modeling: What do probabilistic
# models really mean, in real-life terms? How does one choose
# a model? How do we assess the practical usefulness of models?
#
# The materials are continuously evolving, with new examples and topics
# being added.
#
# Prerequisites: The student must know calculus, basic matrix algebra,
# and have skill in programming.
Norm Matloff
Prof. of Computer Science
University of California, Davis
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