Linear Algebra for Data Science with Python /

Linear Algebra for Data Science with Python provides an introduction to vectors and matrices within the context of data science. This book starts from the fundamentals of vectors and how vectors are used to model data, builds up to matrices and their operations, and then considers applications of ma...

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Bibliographic Details

Main Author:	Shea, John M. (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	[Place of publication not identified] Chapman and Hall/CRC 2025.
Edition:	First edition.
Series:	Chapman & Hall/CRC the Python series.
Subjects:	Electronic books. vector spaces;matrix decomposition;numerical computation;NumPy programming;PyTorch tensor operations;data dimensionality reduction;interactive linear algebra tools
Online Access:	Connect to the full text of this electronic book