Machine learning foundations
Start from data, simple models, evaluation, and optimization geometry.
Choose your learning goal
Roadmaps that connect concepts with practice.
You do not need to follow everything at once. Pick a path, then open articles and visual labs in order.
Image processing toward ML
Follow color spaces, preprocessing, feature extraction, CNN, and segmentation evaluation.
Deep learning step by step
Build intuition for neurons, convolution, attention, and important papers.
Signal processing
Read time-domain signals, filter frequencies, inspect FFT spectra, and decompose components.