Visualizing Mathematics

Implement Backpropagation & Gradient Descent from scratch in your own neural network, then code it Without any Libraries

This book provides a visual and intuitive coverage of the core theory of linear models. Designed to develop fluency with the underlying mathematics and to build a deep understanding of the principles, it's an excellent basis for a one-semester course on statistical theory and linear modeling for intermediate undergraduates or graduate students.