Hacker News
- New Andrew Ng ML Courses https://www.coursera.org/specializations/machine-learning-introduction 2 comments
- New Machine Learning Specialization by Andrew Ng Is Now Available on Coursera https://www.coursera.org/specializations/machine-learning-introduction 2 comments
- ML course https://www.coursera.org/specializations/machine-learning-introduction 5 comments learnmachinelearning
- [Discussion] Is it me or the new machine learning specialization by Andrew ng is dumbed down from previous iteration https://www.coursera.org/specializations/machine-learning-introduction 2 comments machinelearning
Linking pages
- GitHub - ossu/computer-science: :mortar_board: Path to a free self-taught education in Computer Science! https://github.com/ossu/computer-science 1025 comments
- How to get from high school math to cutting-edge ML/AI: a detailed 4-stage roadmap with links to the best learning resources that I’m aware of. - Justin Skycak https://www.justinmath.com/how-to-get-from-high-school-math-to-cutting-edge-ml-ai/ 32 comments
- You Are Not Too Old (To Pivot Into AI) - by swyx https://www.latent.space/p/not-old 8 comments
- How to become a robotics software engineer | Level Up Coding https://levelup.gitconnected.com/how-to-become-a-robotics-software-engineer-in-7-simple-steps-b947ad9284a1 6 comments
- Learning Machine Learning in Elixir | zacksiri.dev https://zacksiri.dev/posts/learning-machine-learning-in-elixir/ 3 comments
- How to succeed as a Machine Learning Engineer https://mlengineerinsights.substack.com/p/how-to-succeed-as-a-machine-learning 3 comments
- Review: The new Machine Learning Specialization | by Usama Ahmed | Medium https://medium.com/@0ssamaak0/review-the-new-machine-learning-specialization-e44206100535 2 comments
- AI Prompt Engineers Earn $300k Salaries: Here's How To Learn The Skill For Free https://www.forbes.com/sites/jodiecook/2023/07/12/ai-prompt-engineers-earn-300k-salaries-heres-how-to-learn-the-skill-for-free/ 2 comments
- GitHub - dair-ai/ML-Course-Notes: 🎓 Sharing machine learning course / lecture notes. https://github.com/dair-ai/ML-Course-Notes 0 comments
- GitHub - innat/ML-Resource: A concise resource repository for machine learning https://github.com/innat/ML-Bookmarks 0 comments
- How to switch from software engineering to AI research if you are lazy as f**k https://blog.goncharov.page/how-to-switch-from-software-engineering-to-ai-research-if-you-are-lazy-as-fk 0 comments
- GitHub - greyhatguy007/Machine-Learning-Specialization-Coursera: Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera 0 comments
- Great Resources for Learning Generative AI and Large Language Models (LLMs) - Scramblings https://pankajpipada.com/posts/2024-04-15-genai-resources/ 0 comments
- Query your database with AI using LangChain and Gradio | Juan Stoppa https://jstoppa.com/posts/artificial-intelligence/fundamentals/query-your-database-with-ai-using-langchain-and-gradio/post/ 0 comments
- 6 (Online) Courses for Your AI Learning in 2024 (Mostly Free Resources) – Upward Dynamism https://upwarddynamism.com/2024/09/14/6-top-online-courses-to-kickstart-your-generative-ai-skills-in-2024/ 0 comments
- GitHub - rafaelgreca/scratchml: A Python library called ScratchML was created to build the most fundamental Machine Learning models from scratch (using only Numpy), emphasizing producing user-friendly, straightforward, and easy-to-use implementations for novices and enthusiasts. https://github.com/rafaelgreca/scratchml 0 comments
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