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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Cohen Mike

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Cohen Mike If you want to work in any computational or technical field, you need to understand linear…

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Specifikacia Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Cohen Mike


Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Cohen Mike

If you want to work in any computational or technical field, you need to understand linear algebra. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications.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. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers.

Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.Ideal for practitioners and students using computer technology and

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Cohen Mike patrí medzi produkty, ktoré ponúkajú vyvážený pomer kvality a ceny. V hornej časti stránky nájdeš hlavný prehľad, nižšie podrobné vlastnosti a technické parametre.

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