Data Science from beginner to advanced level
Daily activity on this article
Loading engagement chart...
The maths modern AI leans on, derived step by step and checked against clean NumPy. Dense layers, regression, cross-entropy gradients, backprop, PCA and SVD, Adam, numerical stability and …
Build a Vision Transformer from first principles in PyTorch, work out its parameters and FLOPs by hand, then shrink it with ONNX, INT8 and TensorRT so it runs …
Learn how LoRA and QLoRA let you fine-tune a 7B model on a single consumer GPU, from the memory arithmetic and low-rank math to NF4 quantisation in NumPy, …
A first-principles tour of Polars: Arrow memory, SIMD, Rust threads and the lazy query optimiser, then a runnable pandas-versus-Polars pipeline, a migration cheat-sheet, Rust tooling (DuckDB, uv, Ruff, …
Space or K play/pause · J / L or arrows ±10 s · Shift+arrows paragraph · click a paragraph to jump
Your feedback has been received and we'll review it soon.
Comments (0)
No comments yet. Be the first to share your thoughts.