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\lecture{Machine Learning}{HW02: Math and linear regression}{CS5350, Fall 2009}

% IF YOU ARE USING THIS .TEX FILE AS A TEMPLATE, PLEASE REPLACE
% "CS5350, Fall 2009" WITH YOUR NAME AND UID.

Hand in at: \url{http://www.cs.utah.edu/~hal/handin.pl?course=cs5350}.
Remember that only PDF submissions are accepted.  We encourage using
\LaTeX\ to produce your writeups.  See \verb+hw01.tex+ for an example
of how to do so.  You can make a \verb+.pdf+ out of the \verb+.tex+ by
running ``\verb+pdflatex hw02.tex+''.

\section{PRML Exercises}

\bei
\i  1.3
\i *1.9
\i  1.11 (6350 only)
\i *1.36
\i  1.40\footnote{The arithmetic mean of $x_1, \dots, x_N$ is $\frac 1 N \sum_n x_n$; the geometric mean is $\left(\prod_n x_n\right)^{1/n}$.  (You'll have to assume all the $x_n$s are strictly positive.)  See wikipedia for more intuition.}
\i  2.1
\i  2.8  (6350 only)
\i *3.3
\eni

%\section{Additional Exercises}
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%\bee
%\i
%\ene

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