Newsletters, blogs, slides, and other useful material
NLP / ML / AI / IR
For getting into Natural Language Processing, here’s a list of academic resources, code and conferences worth checking out.
For bleeding edge recent, state of the art content, also refer to the authors below.
- Cassie Kozyrkov, Machine Learning, Data Science, also Leadership
- Daniel Tunkelang, Information Retrieval, Search
- Heiko Hotz, Generative AI, LLMs, AWS and Google
- Jay Alammar
- ⭐ probably most well known for The Illustrated Transformer
- Marcus on AI, Gary Marcus’ substack
- Philipp Schmid, HuggingFace
- Sebastian Ruder, NLP, Machine Learning
Development, Engineering
- BDD Bias driven development
- Stack Overflow’s newsletter The Overflow
- ThoughtWorks Tech Radar: My go-to resource for the assessment of all things tech (and AI) based on the trusted, hands-on experience of Thoughtworkers
Conferences and other events
- Cologne AI and Machine Learning Meetup
- PyCon & PyData Berlin. I have the honour to be on the programm committee in 2024 😄
- WOMEN+ IN DATA AND AI, probably the best event I’ve attented so far ❤️