November 2016
Intermediate to advanced
697 pages
14h 44m
English
Content preview from Julia: High Performance ProgrammingBecome 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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Selected topics
The JuliaStats group lists a variety of packages to tackle both statistics and machine learning.
Worthy of mention are:
MultivariateAnalysis.jl: Data analysis, dimension reduction and factor analysisClustering.jl: A set of algorithms for data clusteringMCMC.jl: Monte Carlo Markov Chain algorithms
I am going to conclude this chapter by looking briefly at four other packages, but a reader who is new to Julia is encouraged to look at the JuliaStats' GitHub site for more information, and download the packages exploring the examples and tests provided.
Time series
Time series are often used in analysis of financial data where we wish to even out daily market fluctuations to view underlying trends.
For this section, I will return again to ...
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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.