August 2004
Intermediate to advanced
656 pages
15h 28m
English
Content preview from Return on Software: Maximizing the Return on Your Software InvestmentBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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The Expected Value of Perfect Information
The value at the root node is the expected value of the decision tree and is based on current information. The current information is known to be imperfect—the mere fact that there are any chance nodes at all means there is less-than-perfect information about the situation. Given an analyzed decision tree, a reasonable follow-on question is, “Would there be any value in taking actions that would reduce the probability of ending up in an undesirable future state?” If you spent more time or money on research, experimentation, prototyping, or things like that, you might be able to refine the probabilities on one or more of the chance nodes. You might even be able to eliminate one or more paths through the ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.