This online lecture series reviews linear algebra with applications to probability and statistics and optimization. It covers linear algebra concepts that are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks.
|Instructor:||Prof. Gilbert Strang|
How do you like the course 'Matrix Methods in Data Analysis, Signal Processing, and Machine Learning'?