May 2020
Intermediate to advanced
530 pages
17h 8m
English
The concepts of linear algebra are essential for understanding the theory behind ML because they help us understand how ML algorithms work under the hood. Also, most ML algorithm definitions use linear algebra terms.
Linear algebra is not only a handy mathematical instrument, but also the concepts of linear algebra can be very efficiently implemented with modern computer architectures. The rise of ML, and especially deep learning, began after significant performance improvement of the modern Graphics Processing Unit (GPU). GPUs were initially designed to work with linear algebra concepts and massive parallel computations used in computer games. After that, special libraries were created to work with general ...
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