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Hal. Awal Sebelumnya 16 17 18 19 20 Berikutnya Hal. Akhir

THE Data Science Design MANUAL

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Steven S. Skiena

Edisi: -
ISBN/ISSN: 978-3-319-55444-0
Deskripsi Fisik: xvii, 425 hal.
Judul Seri: -
No. Panggil: -

Edisi: -
ISBN/ISSN: 978-3-319-55444-0
Deskripsi Fisik: xvii, 425 hal.
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Probability and Statistics for Data Science

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Carlos Fernandez Granda

Edisi: -
ISBN/ISSN: -
Deskripsi Fisik: v, 232 hal.
Judul Seri: -
No. Panggil: -

Edisi: -
ISBN/ISSN: -
Deskripsi Fisik: v, 232 hal.
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DATA SCIENCE AND ANALYTICS WITH PYTHON

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Jesus Rogel-Salazar

Edisi: -
ISBN/ISSN: 978-1-498-74209-2
Deskripsi Fisik: xxxv, 358 hal.
Judul Seri: -
No. Panggil: -

Edisi: -
ISBN/ISSN: 978-1-498-74209-2
Deskripsi Fisik: xxxv, 358 hal.
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Principles of Data Science

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Sinan Ozdemir

Edisi: 1st
ISBN/ISSN: 978-1-78588-791-8
Deskripsi Fisik: xii, 361 hal.
Judul Seri: -
No. Panggil: -

Edisi: 1st
ISBN/ISSN: 978-1-78588-791-8
Deskripsi Fisik: xii, 361 hal.
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Orthogonality in Quantum-ProbabilisticMachine Learning: An Investigation onMu…

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Sheng-Chen Bai Kun Zhang Shi-Ju Ran

The “black-box” nature of deep learning models fundamentally limits their reliability in critical applications.Tensor networks (TNs), drawing on their interpretable, quantum-probabilistic foundations, offer a promisingpathway toward more transparent machine learning (ML). However, a systematic understanding of theircapabilities and limitations remains an open challenge. Here, we establish a…

Edisi: -
ISBN/ISSN: -
Deskripsi Fisik: 10 hlm.
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AI and Memory

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Andrew Hoskins

Edisi: -
ISBN/ISSN: -
Deskripsi Fisik: 21hlm.
Judul Seri: -
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Edisi: -
ISBN/ISSN: -
Deskripsi Fisik: 21hlm.
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An illustrated tutorial on mixed-method social network analysis of embedded n…

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Nataša Pantic Thibault Coppe Gil Viry

This paper presents an illustrated tutorial for conducting an embedded Mixed-Method Social Network Analysis (MMSNA) to examine the dynamic interplay between human agency and social networks. We draw on an empirical study in education that investigated how teachers enact relational agency within their school networks to support the integration of migrant students. We propose a replicable method …

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Deskripsi Fisik: 16 hlm.
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A zero-inflated Poisson latent position cluster model

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Chaoyi Lu Riccardo Rastell Nial Friel

The Latent Position Model (LPM) is a popular approach for the statistical analysis of network data. A central aspect of this model is that it assigns nodes to random positions in a latent space, such that the probability of an interaction between each pair of individuals or nodes is determined by their distance in this latent space. A key feature of this model is that it allows one to visualize…

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Deskripsi Fisik: 37 hlm.
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Moving beyond constrained settings: Health and network dynamics among middle…

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Amelie Reiner James Moody

Social networks influence health outcomes, yet declining health can also reshape social ties. While prior research has focused on constrained settings, the impact of health on social networks in fully voluntary contexts remains underexplored. This study examines the reciprocal relationship between health and social networks in voluntary settings, assessing whether previously observed patterns p…

Edisi: -
ISBN/ISSN: -
Deskripsi Fisik: 44 hlm.
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Internet of Things: Architecture and Design Principles

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Raj Kamal

Edisi: -
ISBN/ISSN: 978-93-5260-523-1
Deskripsi Fisik: xxvii, 518 hal
Judul Seri: -
No. Panggil: -

Edisi: -
ISBN/ISSN: 978-93-5260-523-1
Deskripsi Fisik: xxvii, 518 hal
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Hal. Awal Sebelumnya 16 17 18 19 20 Berikutnya Hal. Akhir

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