Excellent coverage of feature extraction and dimensionality reduction. Core Highlights 💡
Mathematically rigorous but structured for engineering students.
This textbook is widely considered a foundational resource for understanding the bridge between classical signal processing and modern deep learning. Quick Summary
Is there a (e.g., 3rd edition) you are looking at?
Covers everything from Bayesian decision theory to CNNs.
