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A Computational Approach to Statistical Learning
Af: Bryan W. Lewis, Michael Kane, Taylor Arnold
Engelsk
Bogcover for A Computational Approach to Statistical Learning af Bryan W. Lewis, Michael Kane, Taylor Arnold, 9781138046375
Specifikationer
Sprog:
Engelsk
Sider:
376
ISBN-13:
9781138046375
Indbinding:
Hardback
ISBN-10:
113804637X
Kategori:
Udg. Dato:
29 jan 2019
Størrelse i cm:
16,1 x 23,6 x 2,7
Forlag:
Serie:
Oplagsdato:
29 jan 2019
Forfatter(e):
Genre:

A Computational Approach to Statistical Learning

Af: Bryan W. Lewis, Michael Kane, Taylor Arnold
Engelsk
Hardback 2019
Format:
Hardback
Bog beskrivelse

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset.

The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models.

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Specifikationer
Sprog:
Engelsk
Sider:
376
ISBN-13:
9781138046375
Indbinding:
Hardback
ISBN-10:
113804637X
Kategori:
Udg. Dato:
29 jan 2019
Størrelse i cm:
16,1 x 23,6 x 2,7
Forlag:
Serie:
Oplagsdato:
29 jan 2019
Forfatter(e):
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