For the last months @huggingface, I worked on transformers and... graphs!
So here is a small blog, if you wonder what one could use graphs for, or how to machine learn on them 🔎
(Spoiler: they are everywhere 🧬🚗✍️)
https://t.co/DRnO5ObxME
I am delighted to announce that the "real" camera-ready version of my new book, "Probabilistic Machine Learning: Advanced Topics", is now available. It will appear in print this summer, but it is already freely available online at https://t.co/XjR3no3D2Q.
Deep Learning with PyTorch - University of Amsterdam(UvA)
A fantastic series of tutorials covering a wide array of topics from PyTorch basics, basics of neural nets, architectures(CNNs, transformers, GNNs), generative networks, and contrastive learning.
https://t.co/d6E9K1NYwC
2022 saw a whirlwind of neuroAI research. Brain Dall-E. Neurons in a dish playing pong. GPT predicts how brains process language. I read through a bunch of papers so you don't have to. Read my review of 2022. https://t.co/Dfvr6APUPU
My favorite non-ML paper I read this year is probably "Bayesian Persuasion" (2011), which I somehow only found out about recently. Simple & beautiful.
The first 2 pages are sufficient to be persuaded.
https://t.co/HwYfiCmN5u
I think @exafunction will be a revolutionary company and a true disruptor. Of course, if it manages to do what it says it's going to do & have a strong sales presence. Especially deep partnership with big tech.
@CheapOair I have been trying to speak with your travel agent for over 3 days now. Everytime I hear they'll get back & no response. Absolutely pathetic!
This week I interviewed someone who:
- Built a $1.5B company as COO
- Sold a $1B company to Microsoft
- Invested in 25 🦄🦄🦄🦄
Here’s 10 timeless lessons from one of the greatest tech entrepreneurs of our generation:
I changed my Uber account to a man’s name a few months ago as an experiment.
I haven’t been harassed since.
If the driver asks about it, I say, “Oh… boyfriend.
*rolls eyes and smirks with a slight shoulder shrug*
“He’s super protective.”
It’s. Amazing.
Early career years are painful.
You feel like an idiot 98% of the time - lost, confused and insecure.
I wish I had a cheat sheet of principles for my first job.
So I put one together.
Here are 20 things about building a career I wish I knew sooner:
The #1 mistake I see PM candidates make is assuming that they're super talented so they don't need interview prep. Sadly, this leads to a lot of opportunities lost for a lot of otherwise great candidates.
Raising your first funding round is incredibly difficult.
But armed with some simple knowledge, it can be 10x easier.
Here are 9 videos that helped me raise my first round of VC funding.
/thread