Three further videos in my Machine Learning Foundations series out today! Taking it up a dimension, these are on vector tensors and the norm functions we use to measure them:

Video 5 in the series is "Vectors and Vector Transposition"
Topic 6 is "Norms and Unit Vectors"
And topic 7 is a quick one on "Basis, Orthogonal, and Orthonormal Vectors"

The YouTube playlist for the entire series, which will consist of 30+ hours of videos, is here.

The series is full of hands-on demos in NumPy, PyTorch, and TensorFlow, and all of the code is in GitHub here.

As usual, producer/editor Sangbin Lee did some fine work here.