October 2015
Beginner to intermediate
168 pages
4h 11m
English
Content preview from Learning Bayesian Models with RBecome 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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Other R packages for large scale machine learning
Apart from RHadoop and SparkR, there are several other native R packages specifically built for large-scale machine learning. Here, we give a brief overview of them. Interested readers should refer to CRAN Task View: High-Performance and Parallel Computing with R (reference 10 in the References section of the chapter).
Though R is single-threaded, there exists several packages for parallel computation in R. Some of the well-known packages are Rmpi (R version of the popular message passing interface), multicore, snow (for building R clusters), and foreach. From R 2.14.0, a new package called parallel started shipping with the base R. We will discuss some of its features here.
The parallel R package ...
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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.