ISLR
| StatsWithJuliaBook | ISLR | |
|---|---|---|
| 6 | 4 | |
| 1,059 | 57 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | about 3 years ago | |
| Julia | R | |
| MIT License | - |
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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
ISLR
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An Introduction to Statistical Learning with Applications in Python
It’s a well known machine learning book. I’ve read through it and done the exercises in R.
https://github.com/melling/ISLR
There’s an edX course from the authors:
https://www.edx.org/course/statistical-learning
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Introduction to statistical learning, 2nd edition
Looks like a few new chapters. e.g Deep Learning
I own the first edition. Made it through the entire book during the pandemic with a study partner.
There are other resources:
https://github.com/melling/ISLR
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R Markdown: The Definitive Guide
I recently discovered R Markdown. Started doing the ISLR examples with it.
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
I need to figure out how to better fit images so I don’t have pages with large gaps
Also, you can now embed executable Python in the files.
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The Elements of Statistical Learning [pdf]
I’m up to Chapter 6 in ISLR
https://github.com/melling/ISLR
Would Elements of Statistical Learning be my next book? I’ve seen the Bishop book highly recommended too.
https://www.amazon.com/Pattern-Recognition-Learning-Informat...
What are some alternatives?
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Plots.jl - Powerful convenience for Julia visualizations and data analysis
Neptune.jl - Simple (Pluto-based) non-reactive notebooks for Julia
BlueStyle - A Julia style guide that lives in a blue world
Pluto.jl - 🎈 Simple reactive notebooks for Julia
JLD2.jl - HDF5-compatible file format in pure Julia
here_here - I love the here package. Here's why.
BenchmarkTools.jl - A benchmarking framework for the Julia language
rmarkdown - Dynamic Documents for R
Makie.jl - Interactive data visualizations and plotting in Julia
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts