Matrix Methods in Data Mining and Pattern Recognition
2996 Kč
Sleva až 70% u třetiny knih
Provides an updated treatment of numerical linear algebra techniques for solving problems in data mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how modern matrix methods can be applied in real life scenarios.
Nakladatel: | Society for Industrial & Applied Mathematics,U.S. |
ISBN: | 9781611975857 |
Rok vydání: | 2019 |
Jazyk : | Angličtina |
Vazba: | Paperback / softback |
Počet stran: | 229 |
Mohlo by se vám také líbit..
-
Učebnice jazyka C 1.díl 6.v.
Pavel Herout
-
Učebnice jazyka Java 5.v.
Pavel Herout
-
Učebnice jazyka C 2.díl
Pavel Herout
-
Design Patterns
Gamma, Erich
-
The Clean Coder
Martin, Robert C.
-
XSLT 2.0 a SVG prakticky
Pavel Herout
-
Think Like a Programmer
Spraul, V. Anton
-
Microsoft SQL Server 2012 Podstawy ję...
Ben-Gan Itzik
-
Zaprzyjaźnij się z algorytmami
Tomasiewicz Jacek
-
Python-Tricks
Bader, Dan
-
Hra pro NINTENDO NINTENDO Monster Hun...
-
The Art of Deception
KEVIN MITNICK
-
Piecewise Affine Control
Verissimo, Paulo; Rodrigues, Luis
-
Mastering Frequency Domain Technique...
Sipahi, Rifat
-
An Introduction to the Numerical Simu...
Higham, Desmond J.; Higham, Nicholas J.
-
Interpolatory Methods for Model Redu...
Antoulas, Athanasios C.