BeautifulAlgorithms.jl
| BeautifulAlgorithms.jl | StatsWithJuliaBook | |
|---|---|---|
| 3 | 6 | |
| 1,308 | 1,059 | |
| - | - | |
| 4.1 | 0.0 | |
| 5 months ago | about 1 year ago | |
| Julia | Julia | |
| - | MIT License |
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BeautifulAlgorithms.jl
- Concise and beautiful algorithms written in Julia
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I’m trying to find a short document I can share to convince my team of scientific C++ programmers to give Julia a try. Any suggestions?
https://github.com/mossr/BeautifulAlgorithms.jl might convince them
StatsWithJuliaBook
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An Introduction to Statistical Learning with Applications in Python
I actually like this book by Yoni Nazarathy
https://statisticswithjulia.org/
They have a book on Mathematics of DL too which is a natural progression from the concepts covered here.
(I am slightly biased towards this since I've known the author by online interactions)
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Recommended Self-Study Statistics Book
Today I just started read Stats with Julia (https://statisticswithjulia.org/) and I have to say as a CS and math person, I really love this book. Of course one of the reasons may be that I want to learn Julia.
- Best resources for an R programmer to learn Julia?
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Teaching 3 courses with Julia at Uni and need help
I like what little I have read so far in Statistics with Julia. There is also the recent MIT course Intro to Computational Thinking that uses Pluto and includes statistics and probability at a moderately advanced level.
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Any Books Suggestions for Machine Learning With Julia?
A single Google search sufficed: https://statisticswithjulia.org/
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Tutorial on beginner inferential statistics?
Here's the corresponding github link to the draft version of the book: https://github.com/h-Klok/StatsWithJuliaBook
What are some alternatives?
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Coluna.jl - Branch-and-Price-and-Cut in Julia
Plots.jl - Powerful convenience for Julia visualizations and data analysis
RegressionTables.jl - Journal-style regression tables
BlueStyle - A Julia style guide that lives in a blue world
Matches.jl - Simple ML package that computes gradients without backpropagation
JLD2.jl - HDF5-compatible file format in pure Julia
EvoTrees.jl - Boosted trees in Julia
BenchmarkTools.jl - A benchmarking framework for the Julia language
FluxTraining.jl - A flexible neural net training library inspired by fast.ai
Makie.jl - Interactive data visualizations and plotting in Julia