I shut down by online courses at End-to-End Machine Learning 18 months ago. Wrote a blog post and everything. But the platform I was using hasn't bothered to take them down. So they're just sitting there, all for free. Prego. end-to-end-machine-learning.teachable.com
Who's Who of AI
Brandon Rohrer
Why they matter
Practitioner with public evidence across Agents & robotics.
- AI signals
- 1 past 30d
- Sources
- 1 distinct domains
- Discussões
- 2 past 30d
- Latest signal
- 20d ago
Robotics and Reinforcement Learning tinkerer.
brandonrohrer.org
Wrangler of algorithms.
Eater of bread. Sipper of whisky.
Reports to a Shih Tzu.
What they're sharing
Homepage | End to End Machine Learning end-to-end-machine-learning.teachable.com
TRIPLE BAM!!! With Josh, Luis and special guest Brandon Rohrer m.youtube.com
brandonrohrer.org
Articles & links
If you’re into such things, I’m going to be chatting with Josh Starmer and Luis Serrano (two of the best ML educators I know) in a YouTube livestream, answering viewer questions, at 11:00am EDT Thursday (tomorrow/today). 8am PDT, 3pm UTC, 5pm CEST m.youtube.com/live/Yx-ZkLf...
Artisanal Language Models take a step closer to being able to do proofreading. Trained and hosted on an old Mac. These are small but mighty. Kind of. Aspirationally mighty, at least. brandonrohrer.org/alms_data.html
Their own posts
Recent commentary
the biggest difference I've noticed between data scientists and machine learning engineers is that MLEs will do absolutely anything to avoid looking at their data
The earliest Large Language Models were Markov models (a.k.a. Markov chains). They are like LLMs with a context window of 1 token. As you might guess, they are OK at some things but not awesome.
Their network
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