Learn 80% about what they are and their applications with 20% effort

A breakdown of the three fundamental math fields required for machine learning: statistics, linear algebra, and calculus.

We think basis-free, we write basis-free, but when the chips are down we close the office door and compute with matrices like fury.

We roll up our sleeves and start to deal with matrices

A useful tool in your quiver

The physical meaning of multiplying two matrices and how it works on several special matrices.

Visualizing matrix transposition, to make sense of transpose-related formulas. The post Understanding Matrices | Part 3: Matrix Transpose appeared first on Towards Data Science. Generated by RSStT.…

Since the way we manipulate high-dimensional vectors is primarily matrix multiplication, it isn’t a stretch to say it is the bedrock of the modern AI revolution. The post A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That? appeared…