November 2017
Beginner
316 pages
6h 40m
English
Content preview from Learning Julia
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Distributions
As per the official documentation of distributions.jl, here are the features implemented by this package:
- Moments (for example, mean, variance, skewness, and kurtosis), entropy, and other properties
- Probability density/mass functions (pdf) and their logarithms (logpdf)
- Moment generating functions and characteristic functions
- Maximum likelihood estimation
- Posterior w.r.t. conjugate prior and Maximum-A-Posteriori (MAP) estimation
To start working with it, we need to install it using the command:
julia> Pkg.add("Distributions")
julia> using Distributions
After the installation, we are ready to use it over different distributions, the most common being normal distribution:
# setting the seed julia> srand(123) MersenneTwister(UInt32[0x0000007b], ...
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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.