Linear Algebra for Deep Learning – Towards Data Science

Linear algebra, probability and calculus are the'languages' in which machine learning is formulated. Learning these topics will contribute a deeper understanding of the underlying algorithmic mechanics and allow development of new algorithms. When confined to smaller levels, everything is math behind deep learning. So it is essential to understand basic linear algebra before getting started with deep learning and programming it. The core data structures behind Deep-Learning are Scalars, Vectors, Matrices and Tensors.