Влад Тен

https://r2d3.us/visual-intro-to-machine-learning-part-2/

https://music.ishkur.com https://www.whosampled.com/Baby-Keem/Good-Flirts/ https://learningmusic.ableton.com https://learningsynths.ableton.com

Yale Listening to Music with Craig Wright https://www.youtube.com/playlist?list=PLh9mgdi4rNezhx8YiGIV8I22ICSuzslja https://archive.org/details/listeningtomusic0000crai/page/n7/mode/2up

https://translate.kagi.com/?from=en_us&to=linkedin

ASMR ~ HR тебя сокращает из-за AI https://youtu.be/QmDOZwu-kwY?si=Qo0nYYoc1fUREG3T

https://diffusion.csail.mit.edu/2026/index.html

If you’re working with Go and care about performance, then check out the https://goperf.dev/ Here you can find not theoretical, but practical patterns applicable to memory issues, concurrency, and overall, real bottlenecks you hit in production. The guide has been recently updated with more depth (atomics, concurrency trade-offs, etc.), so worth revisiting even if you’ve seen it before. Solid reference to keep bookmarked. Enjoy!

Linear Algebra: Foundations to Frontiers (LAFF) LAFF-On Programming for Correctness (LAFF-On) LAFF-On Programming for High Performance (LAFF-On-PfHP) Advanced Linear Algebra: Foundations to Frontiers http://ulaff.net

Мы Обречены оффлайн чекните даты https://t.me/myobrechenychannel/1602

Introduction to Applied Linear Algebra https://web.stanford.edu/~boyd/vmls/