Introduction
The following lecture slides follow the organization of the textbook.
Textbook slides
The slides below contain additional material mostly not in the textbook slides above.
Clustering image colors
k-means visualizer
Embeddings
Audio signals
Ballistics (code)
Population dynamics example (code)
Electrical circuit analysis
Regression (code)
Document analysis
Handwritten digit classification
Image processing
Portfolio optimization (code)
Linear quadratic control (code) (demo)
Steganography
Time series
Tomography (book) (tomography visualizer)
Review
You should read our warning about crimes against matrices.