Linking pages
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-machine-learning 46 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- CS 229 - Machine Learning Tips and Tricks Cheatsheet https://stanford.edu/~shervine/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks#diagnostics 4 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2023 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-machine-learning-in-2020 2 comments
- GitHub - mbadry1/Top-Deep-Learning: Top 200 deep learning Github repositories sorted by the number of stars. https://github.com/mbadry1/Top-Deep-Learning 0 comments
- Start AI in 2023 — Become an expert from nothing, for free! https://www.louisbouchard.ai/learnai/ 0 comments
- GitHub - dipakkr/A-to-Z-Resources-for-Students: ✅ Curated list of resources for college students https://github.com/dipakkr/A-to-Z-Resources-for-Students 0 comments
Linked pages
- Teaching - CS 229 https://stanford.edu/~shervine/teaching/cs-229.html 0 comments
- stanford-cs-229-machine-learning/super-cheatsheet-machine-learning.pdf at master · afshinea/stanford-cs-229-machine-learning · GitHub https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf 0 comments
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