LINEAR ALGEBRA TOOL DATA (2ND ED) - Simovici Dan A
-25% koodilla BOOKS
Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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 multidimensional arrays). The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications. The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases.
Lisätietoja
| Kirjoittaja | Simovici Dan A |
|---|---|
| Julkaisija | World Scientific |
| Julkaisuvuosi | 2023 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9789811270338 |