Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

Om kurset

Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.