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h-Klok

StatsWithJuliaBook

h-Klok/StatsWithJuliaBook on GitHub: Julia, Tutorials, ML/AI fundamentals.

TutorialsML/AI fundamentalsJulia
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Created 2018-01-17 · Updated 2026-10-09 · #11648 today
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yoninazarathyVincentTamh-Klok

h-Klok/StatsWithJuliaBook is ranked 11,648 with 1,091 stars.

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h-Klok/StatsWithJuliaBook is ranked 11,648 among these 8 peers; wdndev/tiny-llm-zh is ranked 11,647.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJulia
CategoryTutorials
SubcategoryML/AI fundamentals
Stars1,091
Forks272
Contributors4
Created date2018-01-17
Updated date2026-10-09
Stars in 1 day0
Stars in 7 days1
Rank11,648
Previous rank11,583
Rank change-65
7-day stars rank10,200
Previous 7-day stars rank10,241
7-day stars rank change41
Total stars rank10,420
Previous total stars rank10,406
Total stars rank change-14
README summary

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence This repository is a collection of all 200+ code blocks contained in the book. See the Book's website, or go directly to Springer: The book is comprised of the following ten chapters and three appendices: 1. Simulation of Dynamic Models Usage instructions: 1. Clone or download this repository or a fork of it. jl to install and precompile the required packages. jl We hope you find this an

enjoyable and instructive resource.

Frequently asked questions

How many stars and forks are recorded?

h-Klok/StatsWithJuliaBook has 1,091 stars and 272 forks.

What is the repository rank?

h-Klok/StatsWithJuliaBook is ranked 11,648.

What language and category are recorded?

h-Klok/StatsWithJuliaBook has 1,091 stars, uses Julia and belongs to Tutorials.

Which repository is closest in rank?

h-Klok/StatsWithJuliaBook is compared with wdndev/tiny-llm-zh, ranked 11,647 with 1,092 stars.

README

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

This repository is a collection of all 200+ code blocks contained in the book. See the Book's website, or go directly to Springer:

The book is comprised of the following ten chapters and three appendices:

  1. Introducing Julia

  2. Basic Probability

  3. Probability Distributions

  4. Processing and Summarizing Data

  5. Statistical Inference Concepts

  6. Confidence Intervals

  7. Hypothesis Testing

  8. Linear Regression and Extensions

  9. Machine Learning Basics

  10. Simulation of Dynamic Models

    How-to in Julia Additional Language Features Additional Packages

Usage instructions:

  1. Clone or download this repository or a fork of it.
  2. Have Julia 1.4 or above installed.
  3. Run init.jl to install and precompile the required packages.
  4. Run individual code examples.

An alternative is to use Pluto. See StatisticsWithJuliaPlutoNotebooks.jl

We hope you find this an enjoyable and instructive resource.

H.Klok Y.Nazarathy

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