Resources
Tutorials / Courses
- ML Tutorials: https://machinelearningmastery.com/
- Tutorial series on deep learning: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
- Coding a neural network from scratch in 31 minutes: https://www.youtube.com/watch?v=w8yWXqWQYmU&list=PLfzcn6Jp0f8shspGroxT4amLYR_hIV1ji&index=1
- Tutorials for building your own neural network: https://github.com/codecrafters-io/build-your-own-x#build-your-own-neural-network
- Neural networks and gradient descent: https://www.youtube.com/watch?v=R9OHn5ZF4Uo
- AI Python for beginners (free online course): https://www.deeplearning.ai/short-courses/ai-python-for-beginners/
- Diffusion models: https://www.youtube.com/watch?v=1CIpzeNxIhU
- A high level explanation of how AI learns: https://www.youtube.com/watch?v=R9OHn5ZF4Uo
- Linear algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Books
- Machine Learning with Python Cookbook: https://www.oreilly.com/library/view/machine-learning-with/9781491989371/
- : https://www.amazon.de/-/en/Francois-Chollet/dp/3958458386
- Deep Learning by Ian Goodfellow: https://www.deeplearningbook.org/
- Probabilistic Machine Learning by Murphy: https://probml.github.io/pml-book/book1.html
- Deep dive into ML: https://d2l.ai/index.html
Relevant technical papers
- Transformers: https://arxiv.org/abs/1706.03762
- KAN Networks: https://arxiv.org/abs/2404.19756
- List of papers on LLM Interpretability: https://www.neelnanda.io/mechanistic-interpretability/favourite-papers
- Transformers in Time Series: https://github.com/qingsongedu/time-series-transformers-review
AI Ethics and Regulations
- Computerphile video explaining the „Stop Button Problem“: https://www.youtube.com/watch?v=3TYT1QfdfsM
- Paper on the risks of LLMs: https://dl.acm.org/doi/10.1145/3442188.3445922
- FDA guidelines: https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles
People
- AI founder and influencer: https://www.ykilcher.com/
- Youtuber: https://www.youtube.com/@NicholasRenotte
AI Association resources and past talks
- Machine Learning in Data-Driven marketing: https://github.com/AndreasKarasenko/presentation_10-2024