{"id":21228962,"url":"https://github.com/quantum-software-development/mathfreeresources","last_synced_at":"2026-04-07T19:31:36.372Z","repository":{"id":256707790,"uuid":"829829746","full_name":"Quantum-Software-Development/mathFreeResources","owner":"Quantum-Software-Development","description":null,"archived":false,"fork":false,"pushed_at":"2024-08-22T00:57:20.000Z","size":12,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-01-01T21:30:10.671Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://github.com/Quantum-Software-Development/mathFreeResources","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/Quantum-Software-Development.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},"funding":{"github":"Quantum-Software-Developmen","Custom":"https://github.com/sponsors/Quantum-Software-Development/card"}},"created_at":"2024-07-17T04:49:51.000Z","updated_at":"2024-09-12T05:20:36.000Z","dependencies_parsed_at":"2024-09-12T15:55:05.143Z","dependency_job_id":"10045baf-a5cb-4feb-ac19-f159693ee63b","html_url":"https://github.com/Quantum-Software-Development/mathFreeResources","commit_stats":null,"previous_names":["quantum-software-development/mathfreeresources"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Quantum-Software-Development/mathFreeResources","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Software-Development%2FmathFreeResources","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Software-Development%2FmathFreeResources/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Software-Development%2FmathFreeResources/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Software-Development%2FmathFreeResources/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Quantum-Software-Development","download_url":"https://codeload.github.com/Quantum-Software-Development/mathFreeResources/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Software-Development%2FmathFreeResources/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31526665,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T16:28:08.000Z","status":"ssl_error","status_checked_at":"2026-04-07T16:28:06.951Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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":[],"created_at":"2024-11-20T23:23:42.291Z","updated_at":"2026-04-07T19:31:36.354Z","avatar_url":"https://github.com/Quantum-Software-Development.png","language":null,"readme":"\n\n![1720935870711](https://github.com/user-attachments/assets/cd9d4916-fce3-481e-a065-a92e6e91518e)\n\n\n\n\n# Resources you need for transitioning to serious ML roles.\n\n And All of then are here and best thing fior FREE !\n\n Hope this is useful!\n\n\n#\n\n ## Part 1: Fundamentals\n\n1️⃣ Linear Algebra – Blue1Brown's playlist on YouTube is the most engaging Linear Algebra playlist.\n\nLink: https://lnkd.in/gJMe89Hz\n\n2️⃣ Multivariable Calculus – Khan Academy's Multivariable Calculus lessons are an amazing refresher.\n\nLink: https://lnkd.in/gdkzPvpj\n\n3️⃣ Statistics and Probability – Please watch the Youtube playlist by the channel StatsQuest. Unique style and awesome content.\n\nLink: https://lnkd.in/gxRgRw_A\n\nPart 2: Machine Learning\n\n1️⃣ Stanford Intro to Machine Learning by Andrew Ng. The course also offers a free set of course notes, which are very well written.\n\nLink: https://lnkd.in/gtPxYRjC\n\n2️⃣ Caltech Machine Learning – These are less mathematical and more intuition based.\n\nLink: https://lnkd.in/gz8A_Qkh\n\n3️⃣ Vizuara AI's Machine Learning Teach by Doing: 35 lectures. Whiteboard + coding approach. I have spent 2 months of hard work and am very proud of these lectures.\n\nLink: https://lnkd.in/gbUDy46Y\n\nPart 3: Deep Learning\n\n1️⃣ Andrej Karpathy's Zero to Hero Series – Andrej Karpathy, an AI researcher who graduated with a Stanford PhD and led Tesla AI for several years, released an amazing series of hands on lectures on YouTube.\n\nLink: https://lnkd.in/gqdfEnfK\n\n2️⃣ Vizuara AI Neural networks from scratch series: 35 lectures. Whiteboard + coding approach. I have spent 2 months of hard work and am very proud of these lectures.\n\nLink: https://lnkd.in/gRMnQt64\n\nPart 4: Transformers and LLMs\n\n1️⃣ University of Waterloo lectures: This will give you lots of insights into how Transformers work.\n\nLink: https://lnkd.in/gNuVUe7j\n\n2️⃣ Vizuara AI Building Transformers series: One of the best resources to understand transformers from scratch.\n\nLink: https://lnkd.in/gpcZAwgd\n\n3️⃣ ChatGPT Explainer: Wolfram's YouTube explainer video on ChatGPT is one of the best videos to watch.\n\nLink: https://lnkd.in/gwzh3NZd\n\n4️⃣ Interactive LLM Visualization – This LLM visualization that you can play with in your browser is hands down the best interactive experience with an LLM.\n\nLink: https://bbycroft.net/llm\n\n#\n\n\n \n\n","funding_links":["https://github.com/sponsors/Quantum-Software-Developmen","https://github.com/sponsors/Quantum-Software-Development/card"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantum-software-development%2Fmathfreeresources","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantum-software-development%2Fmathfreeresources","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantum-software-development%2Fmathfreeresources/lists"}