Linear Algebra II: Matrix Operations

This week, I released four new YouTube videos from my Machine Learning Foundations series -- these happen to be the first videos from Subject 2 of the series, which is called Linear Algebra II: Matrix Operations.

The four videos are:

1. Orientation to Subject 2

2. Applying Matrices

3. Affine Transformations

4. Eigenvectors and Eigenvalues
   

Up next -- probably as soon as next week -- I'll be releasing more Linear Algebra videos from Subject 2, covering matrix determinants, eigendecomposition, and the interplay between the two concepts. After that, we'll start releasing videos from Subjects 3 and 4, which are focused on Calculus.

The YouTube playlist for my entire Machine Learning Foundations series is here. The series is full of hands-on demos in Python (particularly the NumPy, TensorFlow, and PyTorch libraries) and all of the code is available open-source in GitHub.

Thanks as always to Sangbin Lee for incredible production. He’s been lately outdoing his already outstanding self.