63,95 €
63,95 €
inkl. MwSt.
Sofort per Download lieferbar
32 °P sammeln
63,95 €
Als Download kaufen
63,95 €
inkl. MwSt.
Sofort per Download lieferbar
32 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
63,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
32 °P sammeln
Andere Kunden interessierten sich auch für
![Tree-Based Methods for Statistical Learning in R (eBook, PDF)]( "Tree-Based Methods for Statistical Learning in R (eBook, PDF)")
Tree-Based Methods for Statistical Learning in R (eBook, PDF)51,95 €![Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data (eBook, PDF)]( "Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data (eBook, PDF)")
Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data (eBook, PDF)51,95 €![Statistical Learning with Sparsity (eBook, PDF)]( "Statistical Learning with Sparsity (eBook, PDF)")
Statistical Learning with Sparsity (eBook, PDF)40,95 €![Machine Learning for Knowledge Discovery with R (eBook, PDF)]( "Machine Learning for Knowledge Discovery with R (eBook, PDF)")
Machine Learning for Knowledge Discovery with R (eBook, PDF)46,95 €![Semisupervised Learning for Computational Linguistics (eBook, PDF)]( "Semisupervised Learning for Computational Linguistics (eBook, PDF)")
Semisupervised Learning for Computational Linguistics (eBook, PDF)63,95 €![Manifold Learning Theory and Applications (eBook, PDF)]( "Manifold Learning Theory and Applications (eBook, PDF)")
Manifold Learning Theory and Applications (eBook, PDF)137,95 €![Deep Learning and Scientific Computing with R torch (eBook, PDF)]( "Deep Learning and Scientific Computing with R torch (eBook, PDF)")
Deep Learning and Scientific Computing with R torch (eBook, PDF)56,95 €
Driven by a vast range of applications, data analysis and learning from data are vibrant areas of research. Various methodologies, including unsupervised data analysis, supervised machine learning, and semi-supervised techniques, have continued to develop to cope with the increasing amount of data collected through modern technology. With a focus on applications, this volume presents contributions from some of the leading researchers in the different fields of data analysis. Synthesizing the methodologies into a coherent framework, the book covers a range of topics, from large-scale machine learning to synthesis objects analysis.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.