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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python - Softcover
Synopsis
This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.
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About the Author
Mike is an associate professor of neuroscience at the Donders Institute (Radboud University Medical Centre) in the Netherlands. He has over 20 years experience teaching scientific coding, data analysis, statistics, and related topics, and has authored several online courses and textbooks. He has a suspiciously dry sense of humor and enjoys anything purple.
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
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O'Reilly Media (edition 1), 2022
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
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