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Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization: Unsupervised Learning Approaches for Dimensionality Reduction an
ISBN-13: 9781032041018 / Angielski / Twarda / 2021 / 160 str.
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization: Unsupervised Learning Approaches for Dimensionality Reduction an
ISBN-13: 9781032041018 / Angielski / Twarda / 2021 / 160 str.
cena 803,19
(netto: 764,94 VAT: 5%)
Najniższa cena z 30 dni: 755,61
(netto: 764,94 VAT: 5%)
Najniższa cena z 30 dni: 755,61
Termin realizacji zamówienia:
ok. 22 dni roboczych.
ok. 22 dni roboczych.
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This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embedding, t-SNE to resolve the problem of dimensionality reduction in case of non-linear relationships within the data. Underlying mathematical concepts, derivations, proofs, strengths and limitations of these algorithms are discussed as well.
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