{"id":18447555,"url":"https://github.com/cyrus2281/notes","last_synced_at":"2026-04-30T10:03:28.485Z","repository":{"id":192718090,"uuid":"631387098","full_name":"cyrus2281/notes","owner":"cyrus2281","description":"Notes taken during studying mathematics and machine learning","archived":false,"fork":false,"pushed_at":"2025-03-18T20:49:27.000Z","size":66137,"stargazers_count":1,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-15T08:58:24.116Z","etag":null,"topics":["deep-learning","latex","learning-resources","machine-learning","mathematics","mathematics-machine-learning","resources"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/cyrus2281.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":"2023-04-22T21:33:55.000Z","updated_at":"2025-03-18T20:49:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"435694da-fef4-4919-a07e-ef64bff92fd6","html_url":"https://github.com/cyrus2281/notes","commit_stats":null,"previous_names":["cyrus2281/notes"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyrus2281%2Fnotes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyrus2281%2Fnotes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyrus2281%2Fnotes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cyrus2281%2Fnotes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cyrus2281","download_url":"https://codeload.github.com/cyrus2281/notes/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249040048,"owners_count":21202813,"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":["deep-learning","latex","learning-resources","machine-learning","mathematics","mathematics-machine-learning","resources"],"created_at":"2024-11-06T07:13:47.287Z","updated_at":"2026-04-30T10:03:23.445Z","avatar_url":"https://github.com/cyrus2281.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Mathematics and Machine Learning Notes\n\nThis repository contains the notes taken while studying different materials in the field of mathematics, machine learning, and deep learning. The notes are written in Jupyter notebooks and are also available Google Colab. Mathematics are written in LaTeX format.\n\nIn addition, I have included some of the resources I have used to study the topics in the resources folder.\n\n## Repository Contents\n* [Mathematics](./Math/)\n    * [General Math](./Math/Math.ipynb)\n    * [Algebra](./Math/Algebra.ipynb)\n    * [Calculus](./Math/Calculus.ipynb)\n    * [Statistics](./Math/Statistics.ipynb)\n* [Machine Learning](./MachineLearning/)\n    * [Deep_Learning.ipynb](./MachineLearning/Deep_Learning.ipynb)\n    * [Generative_AI.ipynb](./MachineLearning/Generative_AI.ipynb)\n    * [ML_Prerequisites.ipynb](./MachineLearning/ML_Prerequisites.ipynb)\n    * [Linear_and_Logistic_Regression.ipynb](./MachineLearning/Linear_and_Logistic_Regression.ipynb)\n    * [Supervised_Machine_Learning.ipynb](./MachineLearning/Supervised_Machine_Learning.ipynb)\n    * [Recommenders.ipynb](./MachineLearning/Recommenders.ipynb)\n    * [Tensorflow](./MachineLearning/Tensorflow)\n    * [PyTorch](./MachineLearning/PyTorch)\n* [LaTex](./LaTeX/)\n* [Paper Summary](./PaperSummary/PaperSummaries.md)\n* [Resources](./resources/)\n    * [blogs](./resources/blogs.md)\n    * [channels](./resources/channels.md)\n    * [platforms](./resources/platforms.md)\n    * [video_series](./resources/video_series.md)\n    * [videos](./resources/videos.md)\n    * [Courses](./resources/courses.md)\n\n\n## Section Details\n\n### Mathematics\n\nThis section includes the notes for different topics in mathematics.\n\n### Machine Learning\n\nThis section includes the notes for different topics in machine learning and deep learning. The notes are complemented by Python codes and mathematical equations.\n\nSub-directories include the notes for that were larger to put in a single file or were from different sources.\n\nThis section is continuously being updated as I study along.\n\n### Paper Summary\n\nThis section includes the summaries of different papers I have read. The summaries are written in markdown format. The summaries are either written in my own words or are direct quotes from the paper. A direct link to the paper is also included in the summary.\n\n### LaTex\n\nThis section includes the notes for LaTex. The notes are taken from *[Michelle Krummel](https://www.youtube.com/michellekrummel)*'s [online free LaTex course](https://youtu.be/ydOTMQC7np0). My notes are written in the Jupyter notebooks.\n\n### Resources\n\nYou can find varies resource for studying mathematics and machine learning in this section. The resources are divided into different categories. The resources are mostly free and open source. However, some of them might require a subscription.\n\n* [Blogs](./resources/blogs.md): These are single page blogs and articles that explain a topic in detail.\n* [Channels](./resources/channels.md): These are YouTube channels that have videos on different topics in mathematics and machine learning.\n* [Platforms](./resources/platforms.md): These are website that offer courses or learning material on different topics in mathematics and machine learning.\n* [Video Series](./resources/video_series.md): These are YouTube video series that explain a topic in detail.\n* [Videos](./resources/videos.md): These are single videos that explain a topic in detail.\n* [Courses](./resources/courses.md): These are online courses or instructors from platforms like Udemy, Coursera, etc.\n\n## Contributing\n\nYou can recommend new resources in the [\"Recommend new resources\" disucssion thread](https://github.com/cyrus2281/notes/discussions/4)\n\nThis repository does not accept pull requests as it includes personal notes taken while studying. However, if you like to add/update/remove any sections, feel free to fork the repository and make the changes there. If you like, you can tag me in your PR, and I might reflect the changes to the primary repository as well.\n\n## Bugs and Issues\n\nAs these notes are taken while studying and they are not official materials, I could have miss understood something, or made a mistake while writing down the notes. If you find any mistakes, please open an issue in the repository and I will try to fix it as soon as possible. **Please be as detailed as possible in your issue report.**\n\n## Disclaimer\n\nThese notes are taken while studying different materials. Therefore, they are not official materials. If you are looking for official materials, please refer to the original sources.\n**There is no guarantee that these notes are correct.** I might have misunderstood something while studying. If you find any mistakes, please open an issue in the repository and I will try to fix it as soon as possible.\n\n## License\n\nAll section of this repository **except for the Latex directory** are under **[MIT license](./LICENSE)**. The Latex directory includes the notes of *[Michelle Krummel](https://www.youtube.com/michellekrummel)* from her [online free LaTex course](https://youtu.be/ydOTMQC7np0). ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyrus2281%2Fnotes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcyrus2281%2Fnotes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcyrus2281%2Fnotes/lists"}