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 analysis

• Clustering.jl: A set of algorithms for data clustering

• MCMC.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 Apple share prices between 2000 and 2002 and will use the short CSV, which comprises the first six fields, that is, upto the nonadjusted trading volumes.

One of the problems we encountered previously while working with the dates was that they were...