Forwarded from Machine Learning with Python
π Thrilled to announce a major milestone in our collective upskilling journey! π
I am incredibly excited to share a curated ecosystem of high-impact resources focused on Machine Learning and Artificial Intelligence. By consolidating a comprehensive library of PDFsβfrom foundational onboarding to advanced strategic insightsβinto a single, unified repository, we are effectively eliminating search friction and accelerating our learning velocity. πβ¨
This initiative represents a powerful opportunity to align our technical growth with future-ready priorities, ensuring we are always ahead of the curve. π‘π
βοΈ Unlock your potential here:
https://github.com/Ramakm/AI-ML-Book-References
#MachineLearning #AI #ContinuousLearning #GrowthMindset #TechCommunity #OpenSource
I am incredibly excited to share a curated ecosystem of high-impact resources focused on Machine Learning and Artificial Intelligence. By consolidating a comprehensive library of PDFsβfrom foundational onboarding to advanced strategic insightsβinto a single, unified repository, we are effectively eliminating search friction and accelerating our learning velocity. πβ¨
This initiative represents a powerful opportunity to align our technical growth with future-ready priorities, ensuring we are always ahead of the curve. π‘π
βοΈ Unlock your potential here:
https://github.com/Ramakm/AI-ML-Book-References
#MachineLearning #AI #ContinuousLearning #GrowthMindset #TechCommunity #OpenSource
β€3
π Collecting free tokens from all LLM providers in one project π€β¨
The developer has created an open-source tool: you add API keys from platforms with free limits. ππ»
The system automatically switches between them when one runs out. ππ
βοΈ Link to GitHub
https://github.com/tashfeenahmed/freellmapi
#LLM #FreeTokens #OpenSource #AI #Developer #Tech
The developer has created an open-source tool: you add API keys from platforms with free limits. ππ»
The system automatically switches between them when one runs out. ππ
βοΈ Link to GitHub
https://github.com/tashfeenahmed/freellmapi
#LLM #FreeTokens #OpenSource #AI #Developer #Tech
β€6
Forwarded from Machine Learning
π₯ Awesome open-source project to learn more about Transformer Models! π€β¨
We found this interactive website that shows you visually how transformer models work. ππ
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
#TransformerModels #OpenSource #AI #MachineLearning #DataScience #Tech
We found this interactive website that shows you visually how transformer models work. ππ
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
#TransformerModels #OpenSource #AI #MachineLearning #DataScience #Tech
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Forwarded from Machine Learning with Python
A new collection of free courses has been added:
π https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. π
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. π§
What's inside:
β’ Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
β’ A table with lectures, descriptions, videos, notes, and authors
β’ Links to the original lectures and accompanying notes
β’ WIP markers for incomplete materials
β’ Instructions for contributors on adding and improving notes
The idea was appreciated. π
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. πΊοΈ
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
π https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. π
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. π§
What's inside:
β’ Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
β’ A table with lectures, descriptions, videos, notes, and authors
β’ Links to the original lectures and accompanying notes
β’ WIP markers for incomplete materials
β’ Instructions for contributors on adding and improving notes
The idea was appreciated. π
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. πΊοΈ
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - dair-ai/ML-Course-Notes: π Sharing machine learning course / lecture notes.
π Sharing machine learning course / lecture notes. - dair-ai/ML-Course-Notes
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Forwarded from Machine Learning with Python
I often see people say that it's impossible to enter the IT field without expensive courses.
However, there's a huge amount of high-quality materials available for free:
π Computer Science
https://github.com/ossu/computer-science
π Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
π System Design
https://github.com/donnemartin/system-design-primer
π Web Development
https://github.com/TheOdinProject/curriculum
π Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
π Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
π Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
π MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
π Cybersecurity
https://github.com/OWASP/CheatSheetSeries
π Linux
https://github.com/trimstray/the-book-of-secret-knowledge
π Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
However, there's a huge amount of high-quality materials available for free:
π Computer Science
https://github.com/ossu/computer-science
π Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
π System Design
https://github.com/donnemartin/system-design-primer
π Web Development
https://github.com/TheOdinProject/curriculum
π Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
π Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
π Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
π MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
π Cybersecurity
https://github.com/OWASP/CheatSheetSeries
π Linux
https://github.com/trimstray/the-book-of-secret-knowledge
π Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - ossu/computer-science: π Path to a free self-taught education in Computer Science!
π Path to a free self-taught education in Computer Science! - ossu/computer-science
β€2