Opening book details…
Can I read Linear Algebra Tools For Data Mining on EtoBox?
Linear Algebra Tools For Data Mining by Dan A. Simovici is a computer science book available to read on EtoBox.
What is Linear Algebra Tools For Data Mining about?
This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimens
Who reads Linear Algebra Tools For Data Mining?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Dan A. Simovici
- Publisher
- World Scientific Publishing Co. Pte. Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789811270338
- Category
- computer science
- Subjects
- Science, Mathematics, Computer Science
- Updated
- 2026-03-24
Other editions & translations
More by Dan A. Simovici
Browse all works by Dan A. Simovici
Similar books
- Basics of Linear Algebra for Machine Learning: Discover the Mathematical Language of Data in Python — Jason Browniee (2018)
- Linear Algebra for Everyone — Gilbert Strang, (1934- ) (2020)
- PRACTICAL LINEAR ALGEBRA FOR DATA SCIENCE : from Core Concepts to Applications Using Python — Mike X Cohen (2022)
- Linear Algebra for Data Science Hb — Moshe Haviv (2023)
- Advanced Linear Algebra: Third Edition — Steven Roman (2008)
- Linear Algebra and Linear Models (Universitext) — Ravindra B. Bapat (2012)