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Titles (1-7 of 7)
Springer series in the data sciences.
1
E-book
2021

Data science for public policy


Chen, Jeffrey C., author

Cham : Springer, [2021]

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2
E-book
2020

Deep learning architectures : a mathematical approach


Calin, Ovidiu.

Cham : Springer, 2020

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3
E-book
2020

First-order and stochastic optimization methods for machine learning


Lan, Guanghui, 1976- author.

Cham : Springer, 2020

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Electronic Resources
4
Book
2015

Lectures on the nearest neighbor method


Biau, Gérard.

Heidelberg ; New York : Springer, [2015]

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Location Call no. Vol. Availability
 MELB  519.536 Bia/Lot  AVAILABLE
5
E-book
2021

Mathematical foundations for data analysis


Phillips, Jeff M., author

Cham, Switzerland : Springer, [2021]

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6
E-book
2023

Statistical inference and machine learning for big data


Alvo, Mayer.



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Electronic Resources
7
E-book
2022

Statistics in the public interest : in memory of Stephen E. Fienberg




Cham, Switzerland : Springer, 2022

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