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题名/责任者:

Practical linear algebra for data science / Mike X Cohen = 数据科学中的实用线性代数 / [荷兰]迈克·X. 科恩著.

出版发行项:

南京 : 东南大学出版社, 2023.

ISBN:

9787576605884

载体形态项:

xiii, 311 pages : illustrations ; 24 cm

变异题名:

数据科学中的实用线性代数

个人责任者:

Cohen, Mike X., 1979- author.

论题主题:

Algebras, Linear-Data processing.

论题主题:

Python (Computer program language)

中图法分类号:

O151.2

中图法分类号:

TP312

一般附注:

Includes index.

摘要附注:

If you want to work in any computational or technical field, you need to understand linear algebra. 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. 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. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. --

原版附注:

Reprint. Originally published: Sebastopol, CA : O'Reilly, 2022.

豆瓣简介：