- We live in beautiful times where you can learn Machine Learning ("AI") and become an expert for free. Here are many curated resources in a complete guide for everyone (even with no tech background) https://github.com/louisfb01/start-machine-learning 6 comments artificial
- We live in beautiful times where you can learn Machine Learning ("AI") and become an expert for free. Here are many curated resources in a complete guide for everyone (even with no tech background) https://github.com/louisfb01/start-machine-learning 10 comments python
- We live in beautiful times where you can learn Machine Learning with Python and become an expert, for free. Here are many resources in a complete guide for everyone even with no tech background at all. Save it for your Holiday break! (ping me if it misses anything great) https://github.com/louisfb01/start-machine-learning 4 comments python
- We live in beautiful times where you can learn Machine Learning and become an expert, for free. Here are many resources in a complete guide for everyone even with no tech background at all. Save it for your Holiday break! (ping me if it misses anything great) https://github.com/louisfb01/start-machine-learning 3 comments deeplearning
- We live in beautiful times where you can learn Machine Learning and become an expert, for free. Here are many resources in a complete guide for everyone even with no tech background at all. Save it for your Holiday break! (ping me if it misses anything great) https://github.com/louisfb01/start-machine-learning 20 comments learnmachinelearning
Linking pages
- 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-llms: A complete guide to start and improve your LLM skills in 2023 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-llms 1 comment
- Start AI in 2023 — Become an expert from nothing, for free! https://www.louisbouchard.ai/learnai/ 0 comments
Linked pages
- fast.ai – fast.ai—Making neural nets uncool again https://fast.ai 382 comments
- Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation https://d2l.ai/ 234 comments
- Kaggle: Your Machine Learning and Data Science Community http://www.kaggle.com 204 comments
- https://probml.github.io/pml-book/book1.html 155 comments
- Advanced NLP with spaCy · A free online course https://course.spacy.io/en/ 96 comments
- AI Expert Roadmap https://i.am.ai/roadmap 92 comments
- Deep Learning http://www.deeplearningbook.org/ 79 comments
- Towards Data Science https://towardsdatascience.com/ 78 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU 69 comments
- Linear Algebra | Khan Academy http://www.khanacademy.org/math/linear-algebra 60 comments
- Learn Python - Free Interactive Python Tutorial https://www.learnpython.org/ 51 comments
- MIT Deep Learning and Artificial Intelligence Lectures | Lex Fridman https://deeplearning.mit.edu/ 50 comments
- http://gwthomas.github.io/docs/math4ml.pdf 40 comments
- NLTK Book http://www.nltk.org/book/ 33 comments
- https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/ 33 comments
- DEEP LEARNING · Deep Learning https://atcold.github.io/pytorch-Deep-Learning/ 25 comments
- Mathematics for Machine Learning | Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press. https://mml-book.com/ 24 comments
- Weights & Biases: The AI Developer Platform http://wandb.ai/ 23 comments
- The spelled-out intro to neural networks and backpropagation: building micrograd - YouTube https://www.youtube.com/watch?v=VMj-3S1tku0 17 comments
- Machine Learning http://www.reddit.com/r/machinelearning/ 12 comments
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