4.9 NumPy Linear Algebra Basics (L04: Scientific Computing in Python)

At its core, NumPy is an array library that implements tensors (including vectors and matrices) for linear algebra. After covering the basics of NumPy, this video goes over some typical linear algebra operations that use in machine learning contexts.

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This video is part of my Introduction of Machine Learning course.

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[danaswanstrom]

I too was impressed by your transpose graphic at 8:06. I do some graphics work at times so I immediately started to think about how you did it even before you mentioned it.

[mehdimaboudi]

Thanks for sharing Sebastian
All section 4 topics may be easy for students, but your presentation is concise and very well organized.
I definitely suggest them to my students.

[sefirot]

Like the tiny funny bits, like the matrix transpose visual, probably was a pain in the a$$ to draw, the comment made me laugh.

[prakashkar]

Sir, What will be the command for cross product of Two 3D Arrays ! This needs in case if I would like to visualize 3D magnetic field around magnets arranged in 3D Locations.