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Machine Learning in Action by Peter Harrington

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Appendix B. Linear algebra

To understand advanced machine learning topics, you need to know some linear algebra. If you want to take an algorithm from an academic paper and implement it in code or investigate algorithms outside of this book, you’ll probably need a basic understanding of linear algebra. This appendix should serve as a light refresher or introduction if you’ve had this material before but it’s been a while and you need a reminder. If you’ve never had this material before, I recommend that you take a course at a university, work through a self-study book, or watch a video. Free tutorial videos are available on the internet[1] as well as full recordings of semester-long courses.[2] Have you ever heard “Math is not a spectator sport”? ...

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