May 2024
Beginner to intermediate
151 pages
3h 22m
English
Content preview from Before Machine Learning Volume 1 - Linear Algebra for A.I
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Chapter 2Why Linear Algebra?
Linear algebra is essential to forming a complete understanding of machine learning. The applications are countless, and the techniques from this discipline belong to a shared collection of algorithms widely used in artificial intelligence. Its properties and methods allow for faster computation of complex systems and the extraction of hidden relationships in sets of data.
All of this is very relevant, and it justifies the need to master this domain of mathematics. However, I think that the true power of linear algebra comes from something else. I first heard the term “beautiful” associated with mathematics while attending a lecture at university, and the word “lame” instantly sparked in my brain. I was not in ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.