{"id":15031876,"url":"https://github.com/h-klok/statswithjuliabook","last_synced_at":"2025-05-16T10:06:51.818Z","repository":{"id":37663420,"uuid":"117849275","full_name":"h-Klok/StatsWithJuliaBook","owner":"h-Klok","description":null,"archived":false,"fork":false,"pushed_at":"2023-03-27T02:18:41.000Z","size":8847,"stargazers_count":1091,"open_issues_count":16,"forks_count":279,"subscribers_count":64,"default_branch":"master","last_synced_at":"2025-05-16T10:06:50.977Z","etag":null,"topics":["julia","julia-language","machine-learning","statistics"],"latest_commit_sha":null,"homepage":"https://statisticswithjulia.org/","language":"Julia","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/h-Klok.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2018-01-17T14:44:25.000Z","updated_at":"2025-04-30T18:43:23.000Z","dependencies_parsed_at":"2022-08-08T21:15:32.905Z","dependency_job_id":"2f4da371-95b2-40df-8326-f3e41ce0c1f3","html_url":"https://github.com/h-Klok/StatsWithJuliaBook","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h-Klok%2FStatsWithJuliaBook","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h-Klok%2FStatsWithJuliaBook/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h-Klok%2FStatsWithJuliaBook/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/h-Klok%2FStatsWithJuliaBook/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/h-Klok","download_url":"https://codeload.github.com/h-Klok/StatsWithJuliaBook/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254509476,"owners_count":22082891,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["julia","julia-language","machine-learning","statistics"],"created_at":"2024-09-24T20:16:49.451Z","updated_at":"2025-05-16T10:06:51.797Z","avatar_url":"https://github.com/h-Klok.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence\n\n\nThis repository is a collection of all 200+ code blocks contained in the book. See the [Book's website](https://statisticswithjulia.org/index.html), or go directly to Springer:\n\n[![bookCoverImage](https://statisticswithjulia.org/img/book1Cover.png)](https://www.springer.com/gp/book/9783030709006)\n\n## The book is comprised of the following ten chapters and three appendices:\n\n1. Introducing Julia\n2. Basic Probability\n3. Probability Distributions\n4. Processing and Summarizing Data\n5. Statistical Inference Concepts\n6. Confidence Intervals\n7. Hypothesis Testing\n8. Linear Regression and Extensions\n9. Machine Learning Basics\n10. Simulation of Dynamic Models\n\n\u003col type=\"A\"\u003e\n\t\u003cli\u003e How-to in Julia\u003c/li\u003e\n\t\u003cli\u003eAdditional Language Features\u003c/li\u003e\n\t\u003cli\u003eAdditional Packages\u003c/li\u003e\n\u003c/ol\u003e\n\n## Usage instructions:\n\n1. Clone or download this repository or a fork of it.\n1. Have Julia 1.4 or above installed.\n1. Run init.jl to install and precompile the required packages.\n1. Run individual code examples.\n\n---\n\nAn alternative is to use Pluto. See [StatisticsWithJuliaPlutoNotebooks.jl](https://github.com/StatisticalRethinkingJulia/StatisticsWithJuliaPlutoNotebooks.jl)\n\nWe hope you find this an enjoyable and instructive resource.\n\nH.Klok\nY.Nazarathy\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fh-klok%2Fstatswithjuliabook","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fh-klok%2Fstatswithjuliabook","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fh-klok%2Fstatswithjuliabook/lists"}