<div>I'm interested.</div><br><br><div class="gmail_quote">On Mon, Nov 1, 2010 at 3:48 PM, Mike Schachter <span dir="ltr"><<a href="mailto:mike@mindmech.com">mike@mindmech.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">

Hey Ben,<br><br>I'd be interested in meeting up but I'm usually pressed for time. I<br>cc'ed the machine learning group - probability is pretty important<br>for them and surely some ML'ers are interested!<br>


<br>  mike<br><br><br><div class="gmail_quote"><div><div></div><div class="h5">On Mon, Nov 1, 2010 at 3:44 PM, Ben Weisburd <span dir="ltr"><<a href="mailto:ben.weisburd@gmail.com" target="_blank">ben.weisburd@gmail.com</a>></span> wrote:<br>

</div></div><blockquote class="gmail_quote" style="margin:0pt 0pt 0pt 0.8ex;border-left:1px solid rgb(204, 204, 204);padding-left:1ex"><div><div></div><div class="h5">
Hi, <div>Is anyone interested in joining up to learn probability over the next 1.5 months or so? </div><div>There is a great text book that's available free online: <a href="http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/" target="_blank">Fundamentals of Applied Probability Theory by Al Drake</a></div>




<div>The author taught probability at MIT for many years.</div><div>Ideally, we would meet once a week and go over 1 chapter. Depending on people's interest, we could either have one person teach the chapter to everyone else during the meeting, or we could each read the chapter at home and do 10-or-so of the recommended problems. Then, we could spend the meeting discussing what we found interesting/confusing and comparing answers to the problems.</div>




<div><br></div><font color="#888888"><div>-Ben</div><div><div><div><div><br></div><div><font size="3" face="Verdana, Arial, Helvetica, sans-serif"><span style="font-size:12px"><br></span></font></div>

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