May 2018
Beginner to intermediate
364 pages
7h 43m
English
Content preview from Hands-On Data Science with Anaconda
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Optimization in R
In this section, we show one example of optimization for R. The first one is quite simple, which is the maximum of a user's utility, expressed here:
Where U is the utility function, E(x) is the expectation function, Rp is the portfolio return, A is a parameter representing risk preference, and 
is the portfolio variance. Obviously, the utility is positively correlated with the expected portfolio return and negatively correlated with the portfolio risk (that is, variance). Note that this is a quadratic function.
Next, we try ...
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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.