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An introduction to statistical learning : with applications in R

James, Gareth (Verfasser)

corrected at 6.th. printing

New York : Springer, 2015

Buch

Data Wrangling Using Pandas, SQL, and Java

Campesato, Oswald (Verfasser)

Dulles, VA : Mercury Learning and Information, 2022

E-Book

An introduction to statistical learning : with applications in R

James, Gareth (Verfasser)

Corrected at 4 printing

New York : Springer, 2014

Buch

Doombot versus other machine-learning methods for evaluating recession risks in OECD countries

Chalaux, Thomas (Verfasser)

Paris : OECD Publishing, 2024

E-Book

Learning Redis

Ganyo, Scott (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2015

Film

Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: a machine learning study in two large multi-site samples in anxiety disorders

Hilbert, Kevin (Verfasser)

Freiburg : Universität, 2024

E-Book

An introduction to statistical learning : with applications in R

James, Gareth (Verfasser)

corrected at 8th printing

New York : Springer, [2017]

Buch

Artificial Neural Networks and Machine Learning – ICANN 2023 : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26–29, 2023, Proceedings, Part IX

Iliadis, Lazaros (Herausgeber)

1st ed. 2023

Cham : Springer Nature Switzerland, 2023

E-Book

The elements of statistical learning : data mining, inference, and prediction

Hastie, Trevor (Verfasser)

Second edition, corrected at 12th printing 2017

New York, NY : Springer, [2017]

Buch

Business intelligence and analytics : systems for decision support

Sharda, Ramesh

10. ed., global ed.

Boston [u.a.] : Pearson, 2014

Buch

The elements of statistical learning : data mining, inference, and prediction

Hastie, Trevor

2. ed.

New York, NY : Springer, 2009

Buch

The elements of statistical learning : data mining, inference, and prediction

Hastie, Trevor

New York [u.a.] : Springer, 2001

Buch

Bioinformatics and computational biology solutions using R and bioconductor

Gentleman, Robert (Hrsg.)

New York, NY [u.a.] : Springer, 2005

Buch

Evaluating learning algorithms : a classification perspective

Japkowicz, Nathalie

1. publ.

Cambridge [u.a.] : Cambridge University Press, 2011

Buch

Hybrid approaches for autonomous highway driving: integrating reinforcement learning and classical methods for decision making

Mirchevska, Branka (Verfasser)

Freiburg : Universität, 2025

E-Book

Hybrid approaches for autonomous highway driving: integrating reinforcement learning and classical methods for decision making

Mirchevska, Branka (Verfasser)

Freiburg : Universität, 2024

E-Book

Electron paramagnetic resonance investigations of biological systems by using spin labels, spin probes, and intrinsic metal ions
Part A.

Qin, Peter Z. (Herausgeber)

Amsterdam : Elsevier, 2015

Buch

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Singh, Anubhav (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

E-Book

Data Science, Learning by Latent Structures, and Knowledge Discovery

Lausen, Berthold (Herausgeber)

1st ed. 2015

Berlin, Heidelberg : Springer Berlin Heidelberg, 2015

E-Book

Pandas Cookbook : Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Petrou, Theodore (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

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