Foundations of Tensors and ML Data Representation
Comprehensive guide on Foundations of Tensors and ML Data Representation covering Scalars, vectors, and matrices, Tensors and dimensions, Matrix shapes with code and visual sketchnotes.
Vector Operations, Matrix Arithmetic, and Spatial Metrics
Comprehensive guide on Vector Operations, Matrix Arithmetic, and Spatial Metrics covering Vector addition and scalar multiplication, Dot products, Matrix multiplication with code and visual sketchnotes.
Eigenvalues, Eigenvectors, and Practical Computation with NumPy
Comprehensive guide on Eigenvalues, Eigenvectors, and Practical Computation with NumPy covering Eigenvalues and eigenvectors, Linear algebra with NumPy with code and visual sketchnotes.