Linear Algebra for Machine Learning: Complete Math Course on YouTube -- Jon Krohn

My Machine Learning Foundations curriculum provides a comprehensive overview of all of the subjects -- across mathematics, statistics, and computer science -- that underlie contemporary machine learning approaches. You can check out the full curriculum and all of the open-source Python code (featuring the NumPy, TensorFlow, and PyTorch libraries) in GitHub here. At a high level, my ML Foundations content can be broken into four subject areas: linear algebra, calculus, probability/stats, and computer science. The first quarter of the content, on linear algebra, stands alone as its own discrete course and is now available on YouTube. The playlist for my complete Linear Algebra for Machine Learning course is on YouTube here.