
Signals & Systems
Signals & Systems formulas
Notes
A mixed notebook for blog-style build logs, AI course notes, visual explanations, and compact cheat sheets.

Signals & Systems formulas
Whisper becomes more useful when transcription is treated as one stage in a larger NLP system.
A confidence selector can turn deep and classical visual odometry branches into a more robust research architecture.
The fastest pipeline improvement is often moving repeated Python-level work into vectorized array operations.
Separating sale occurrence from sale magnitude can make sparse forecasting systems easier to reason about.
WAPE is useful, but sparse demand and high zero ratios can hide important failure modes.
A practical note on preserving temporal integrity when lagged features depend on previous predictions.