{"id":18254380,"url":"https://github.com/brpy/ml-books","last_synced_at":"2026-01-20T07:33:36.633Z","repository":{"id":178362369,"uuid":"262957681","full_name":"brpy/ml-books","owner":"brpy","description":"A list of freely available Machine Learning related books.","archived":false,"fork":false,"pushed_at":"2020-12-31T20:13:01.000Z","size":6,"stargazers_count":24,"open_issues_count":0,"forks_count":6,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-08T21:47:39.726Z","etag":null,"topics":["books","data-science","free","freely","machine-learning","statistics"],"latest_commit_sha":null,"homepage":"","language":null,"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/brpy.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-05-11T06:28:57.000Z","updated_at":"2025-02-10T01:56:47.000Z","dependencies_parsed_at":null,"dependency_job_id":"6d866bee-c48f-4478-ba27-10ee2a513797","html_url":"https://github.com/brpy/ml-books","commit_stats":null,"previous_names":["brpy/ml-books"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/brpy/ml-books","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brpy%2Fml-books","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brpy%2Fml-books/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brpy%2Fml-books/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brpy%2Fml-books/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/brpy","download_url":"https://codeload.github.com/brpy/ml-books/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brpy%2Fml-books/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28598165,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-20T02:08:49.799Z","status":"ssl_error","status_checked_at":"2026-01-20T02:08:44.148Z","response_time":117,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["books","data-science","free","freely","machine-learning","statistics"],"created_at":"2024-11-05T10:12:01.323Z","updated_at":"2026-01-20T07:33:36.613Z","avatar_url":"https://github.com/brpy.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ml-books\nA list of freely available Machine Learning, Data Science and Statistics books.\n\n| Book/Resource| Author(s) | Links|:arrow_double_down:|\n|-----------|----------------------------|-----------------------------------------------|---|\n| d2l-ai| Community | [[github]](https://github.com/d2l-ai/d2l-en) [[pdf]](https://d2l.ai/d2l-en.pdf)|:heavy_check_mark:|\n| Data Science Handbook|  Jake Vanderplas | [[github]](https://github.com/jakevdp/PythonDataScienceHandbook) [[online]](https://jakevdp.github.io/PythonDataScienceHandbook/)|:x:|\n| Deep Learning Book| Ian Goodfellow, Yoshua Bengio, Aaron Courville | [[online]](https://www.deeplearningbook.org/)|:x:|\n| Deep Learning with Pytorch|Eli Stevens, Luca Antiga, Thomas Viehmann| [[pdf]](https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf)|:heavy_check_mark:|\n| Introdution to Probability| Jessica Hwang and Joseph K. Blitzstein | [[Google Drive]](https://drive.google.com/file/d/1VmkAAGOYCTORq1wxSQqy255qLJjTNvBI/view)|:x:|\n|Ml Primer|Mihail Eric| [[pdf]](https://www.confetti.ai/assets/ml-primer/ml_primer.pdf) |:heavy_check_mark:|\n|Mathematics For Machine Learning|Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong|[[github]](https://github.com/mml-book/mml-book.github.io) [[pdf]](https://mml-book.github.io/book/mml-book.pdf)|:heavy_check_mark:|\n|Foundations of Data Science|Avrim Blum, John Hopcroft, Ravindran Kannan| [[pdf]](https://www.cs.cornell.edu/jeh/book.pdf)|:heavy_check_mark:|\n|Think Stats|Allen Downey|[[github]](https://github.com/AllenDowney/ThinkStats2) [[pdf]](https://greenteapress.com/thinkstats/thinkstats.pdf)|:heavy_check_mark:|\n|Math4ml|Garrett Thomas|[[github]](https://github.com/gwthomas/math4ml) [[pdf]](https://gwthomas.github.io/docs/math4ml.pdf)|:heavy_check_mark:|\n|Think bayes|Allen Downey|[[github]](https://github.com/AllenDowney/ThinkBayes) [[html]](http://www.greenteapress.com/thinkbayes/html/index.html) [[pdf]](http://www.greenteapress.com/thinkbayes/thinkbayes.pdf)|:heavy_check_mark:|\n|Think python 2|Allen Downey|[[pdf]](http://greenteapress.com/thinkpython2/thinkpython2.pdf)|:heavy_check_mark:|\n|Intermediate python|Muhammad Yasoob Ullah Khalid|[[pdf]](https://buildmedia.readthedocs.org/media/pdf/intermediatepythongithubio/latest/intermediatepythongithubio.pdf)|:heavy_check_mark:|\n|Pattern Recognition and Machine Learning|Christopher Bishop|[[pdf]](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf)|:heavy_check_mark:|  \n|Computer Age Statistical Inference|Bradley Efron, Trevor Hastie|[[pdf]](https://web.stanford.edu/~hastie/CASI_files/PDF/casi.pdf)|:heavy_check_mark:|\n|An Introduction to Statistical Learning|Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani|[[pdf]](https://statlearning.com/ISLR%20Seventh%20Printing.pdf)|:heavy_check_mark:|\n|The Elements ofStatistical Learning|Trevor Hastie, Robert Tibshirani, Jerome Friedman|[[pdf]](https://web.stanford.edu/~hastie/Papers/ESLII.pdf)|:heavy_check_mark:| \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrpy%2Fml-books","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrpy%2Fml-books","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrpy%2Fml-books/lists"}