https://jonathancarter.org/2024/08/29/orphaning-bcachefs-tools-in-debian/
https://www.learnpytorch.io/
Learn important machine learning concepts hands-on by writing PyTorch code.
https://writings.stephenwolfram.com/2024/08/whats-really-going-on-in-machine-learning-some-minimal-models/
Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.
https://youtu.be/RFhM34rBWnU
https://github.com/andresvourakis/data-scientist-handbook
This is a repo with links to everything you'd ever want to learn about data science - GitHub - andresvourakis/data-scientist-handbook: This is a repo with links to everything you'd ever wa...
https://okmij.org/ftp/ML/generalization.html
https://youtu.be/Zy-eDWVam_Y
https://nostarch.com/writing-c-compiler
A fun, hands-on guide to writing your own compiler for a real-world programming language.
https://donsz.nl/blog/arenas/
Sometimes you just really need an arena. Sometimes for performance reasons, other times for lifetime-related reasons. In their most basic forms, they're just a vec with some extra guarantees. However, it's those extra guarantees that matter. I've found myself looking for the right kind of arena too many times, so here's an overview of literally everything there is. I think, let me know if I forgot something.
https://www.eventhelix.com/rust/rust-to-assembly-tail-call-via-vtable-and-box-trait-free/
Discover how the Rust compiler optimizes dynamically dispatched tail calls and manages memory when using trait objects in this in-depth tutorial. Gain a deeper understanding of how vtables and the Rust memory model work together to improve the performance of your code.
@ericjmorey
@programming.dev