@NayanKad@moinbukh@_buildspace@_nightsweekends This is a very cool idea,What languages are you planning to include and hope you are working with language experts in building the experience
!!!! Ok I recorded a (new!) 2h25m lecture on "The spelled-out intro to neural networks and backpropagation: building micrograd" https://t.co/KQ23lQW1BT .
This is the culmination of about 8 years of obsessing about the best way to explain neural nets and backprop.
Share this with someone you think could benefit from it. I wrote it as something I wish I knew when I was younger.
Have a nice day and cheers from Pompeii! 🇮🇹❤
8/8
This is a thread about my mental health and PhD experience so far and about how I crawled out of a very deep pit of mental suffering. This is just my experience and not medical advice, but I hope it can help you or simply increase awareness.
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🔥The ML Reproducibility Challenge is back!
The 5th annual edition now expands to cover papers from 9 major ML conferences: NeurIPS, ICML, ICLR, ACL-IJCNLP, EMNLP, CVPR, ICCV, AAAI and IJCAI.
Find more here: https://t.co/JAXn570hEe
New preprint: Datasets (https://t.co/8aUjNjMpYh) documents the Hugging Face Datasets project, now containing more than 700 NLP datasets from over 300 contributors.
NLP models haven't changed much recently, but datasets, and how we use and document them, have changed a lot ...
Hey 👋🏻
Lately, I've been preparing for ML/DS internship interviews (mainly in Computer Vision) and decided to create a non-exhaustive set of notes to study.
Thought I'd share it here for those in the same boat :D
https://t.co/gQ3FoBMH4l
Happy learning!
I compiled on GitHub a list of PhD application advice that greatly helped me a year ago when I was applying to PhD programs. Hope these pointers can help new applicants this year as the application season kicks off. Feel free to contribute😉: https://t.co/j7LbnrTnz0