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Books > Science & Mathematics > Mathematics > Algebra
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Linear Algebra With Machine Learning and Data (Hardcover)
Loot Price: R2,260
Discovery Miles 22 600
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Linear Algebra With Machine Learning and Data (Hardcover)
Series: Textbooks in Mathematics
Expected to ship within 12 - 17 working days
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This book takes a deep dive into several key linear algebra
subjects as they apply to data analytics and data mining. The book
offers a case study approach where each case will be grounded in a
real-world application. This text is meant to be used for a second
course in applications of Linear Algebra to Data Analytics, with a
supplemental chapter on Decision Trees and their applications in
regression analysis. The text can be considered in two different
but overlapping general data analytics categories, clustering and
interpolation. Knowledge of mathematical techniques related to data
analytics, and exposure to interpretation of results within a data
analytics context, are particularly valuable for students studying
undergraduate mathematics. Each chapter of this text takes the
reader through several relevant and case studies using real world
data. All data sets, as well as Python and R syntax are provided to
the reader through links to Github documentation. Following each
chapter is a short exercise set in which students are encouraged to
use technology to apply their expanding knowledge of linear algebra
as it is applied to data analytics. A basic knowledge of the
concepts in a first Linear Algebra course are assumed; however, an
overview of key concepts are presented in the Introduction and as
needed throughout the text.
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