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SPRINGER SERIES IN THE DATA SCIENCES
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COMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS
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Statistics in the Public Interest: In Memory of Stephen E. Fienberg / [Ebook]
Series:
Springer Series in the Data Sciences,
2022
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Online resource: Springer
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Statistical Inference and Machine Learning for Big Data [Ebook]
Series:
Springer Series in the Data Sciences,
Alvo, Mayer
2022
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Online resource: Springer
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Lectures on the Nearest Neighbor Method [Ebook]
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Springer Series in the Data Sciences,
Biau, Gérard
2015
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Online resource: Springer
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Deep Learning Architectures: A Mathematical Approach [Ebook]
Series:
Springer Series in the Data Sciences
Calin, Ovidiu
2020
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Online resource: Springer
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Data Science for Public Policy [Ebook]
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Springer Series in the Data Sciences,
Chen, Jeffrey C.
2021
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Online resource: Springer
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First-order and Stochastic Optimization Methods for Machine Learning [Ebook]
Series:
Springer Series in the Data Sciences,
Lan, Guanghui
2020
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Online resource: Springer
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Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence / [Ebook]
Series:
Springer Series in the Data Sciences,
Nazarathy, Yoni
2021
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Online resource: Springer
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Mathematical Foundations for Data Analysis [Ebook]
Series:
Springer Series in the Data Sciences,
Phillips, Jeff M.
2021
Shelf Location:
Online resource: Springer
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Multivariate Data Analysis on Matrix Manifolds (with Manopt) / [Ebook]
Series:
Springer Series in the Data Sciences,
Trendafilov, Nickolay
2021
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Online resource: Springer
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