[Intro video] Linear algebra for data science -- answers to book exercises

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The videos in this playlist are walk-throughs and explanations of exercises in the book:

"Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python" published by O'Reilly in 2022.

  1. Mike X Cohen
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Комментарии
Автор

I just started to read the book on oreilly, Im really psyched, thank you!

jason_dube
Автор

Thank you so much for this amazing book and great learning resources!

ritishmaram
Автор

I am a data scientist who has learned and refreshed many concepts with the book. Great resource! I want to ask a question and I would appreciate any replies. In my job I have a problem, I have to solve a very large sparse system Ax = b, the matrix is a scipy sparse CSC matrix (10Mx10M) with 500k entries, it is not symmetric. I dont know if it is parallelizable, I have tried many solvers but i am out of RAM.

raizen
Автор

What's the difference between this book and your other Linear Algebra book? Which one should I go for as a beginner?

christmasisawesome