Al Jaber 🇧🇩 @variable1011

talks about CS,ML,DL,AI Joined January 2022

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Caglar @caglar_ee

2 years ago

Video lectures, Stanford CS109 Introduction to Probability for Computer Scientists 2022, by Chris Piech web.stanford.edu/class/archive/… youtube.com/playlist?list=…

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🎉Two free masterpiece book PDFs for mathematical ML/AI: -1/ "Mathematics for machine learning" (CUP, 2020). mml-book.github.io -2/ "Information theory, inference and learning algorithms" by Sir MacKay combining Information Theory with ML inference.org.uk/itila/book.html

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Dan Goodman @neuralreckoning

2 years ago

I'm happy to announce the start of a new free and open online course on neuroscience for people with a machine learning or similar background, co-developed by @MarcusGhosh. YouTube Videos and Jupyter-based exercises will be released weekly. There is a Discord for discussions.

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Jonathan K. Kummerfeld @jkkummerfeld

2 years ago

I'm making a list of NLP faculty who are recruiting PhD students: forms.gle/k8xkEzVGWD95fk… Results are shared here (after I confirm the submission): docs.google.com/spreadsheets/d… This is an experiment intended to help students find advisers and help advisers find students

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Arpit Bhayani @arpit_bhayani

2 years ago

BitTorrent is a fascinating piece of code and the algorithms that power this distributed system are mind-blowingly awesome 🤯 I have a full-blown BitTorrent Internals series on YouTube (7 videos) that covers literally everything you need to know to re-implement it in your…

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marius eriksen @marius

2 years ago

Sometimes the best expositive content is buried in papers that provide it as context their readers. I came across this great description of modern GPU computing in an algorithms paper exploring applying GPUs to constraint problems. web.ecs.syr.edu/~ffiorett/file…

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Jakub Tomczak @jmtomczak

3 years ago

@rorcde @RealAAAI Anyone who would like to delve in #GenerativeAI and would like to get some hands-on (I provide some code too). Knowing some math and Python should suffice. Book: link.springer.com/book/10.1007/9… Code: github.com/jmtomczak/intr…

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AI Coffee Break with Letitia @AICoffeeBreak

3 years ago

Why tune optimizers hyperparameters (ex. Adam) by hand, if one can train a neural network to behave like an optimizer and dynamically find the best update for your neural network’s weights? In this video, we explain the VeLO learned optimizer!👇 📺 youtu.be/9a6PQJxzUpM

James Harrison @jmes_harrison

3 years ago

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Alex Xu @alexxubyte

3 years ago

Twitter Architecture 2012 Source: infoq.com/presentations/… {2/2}

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Alex Xu @alexxubyte

3 years ago

Twitter Architecture 2022 vs. 2012. What’s changed over the past 10 years? Thank you, @elonmusk for the transparency. {1/2}

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Roman Ring @Inoryy

3 years ago

- Find fields of interest, do literature review - Replicate interesting papers, showcase on GitHub - Think of ideas to follow up the papers - Reach out to paper authors, discuss your ideas - Implement your ideas, showcase on GitHub - Iterate to success

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Roman Ring @Inoryy

3 years ago

Incomplete path to research engineering: - Study calculus, lin. algebra, prob. theory - Intro courses e.g. fast.ai, deeplearning.ai - Advanced courses e.g. cs231n.stanford.edu, cs224n.stanford.edu - Join communities e.g. eleuther.ai