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| Hauptseite > Publikationsdatenbank > Parallel and Scalable Machine Learning > print |
| 001 | 861538 | ||
| 005 | 20210130000843.0 | ||
| 024 | 7 | _ | |a 2128/21868 |2 Handle |
| 037 | _ | _ | |a FZJ-2019-01993 |
| 100 | 1 | _ | |a Riedel, Morris |0 P:(DE-Juel1)132239 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a PRACE Training Course 2019 |c Jülich |d 2019-02-25 - 2019-02-27 |w Germany |
| 245 | _ | _ | |a Parallel and Scalable Machine Learning |
| 260 | _ | _ | |c 2019 |
| 336 | 7 | _ | |a lecture |2 DRIVER |
| 336 | 7 | _ | |a Generic |0 31 |2 EndNote |
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| 536 | _ | _ | |a 512 - Data-Intensive Science and Federated Computing (POF3-512) |0 G:(DE-HGF)POF3-512 |c POF3-512 |f POF III |x 0 |
| 536 | _ | _ | |a DEEP-EST - DEEP - Extreme Scale Technologies (754304) |0 G:(EU-Grant)754304 |c 754304 |f H2020-FETHPC-2016 |x 1 |
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| 700 | 1 | _ | |a Cavallaro, Gabriele |0 P:(DE-Juel1)171343 |b 1 |
| 700 | 1 | _ | |a Jitsev, Jenia |0 P:(DE-Juel1)158080 |b 2 |u fzj |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_1-Parallel-and-Scalable-Machine-Learning-driven-by-HPC-v1.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_10-Theory-of-Generalization-v1.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_11_Unsupervised_Clustering_and_Applications.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_12_Unsupervised_Clustering_and_Applications.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_13_Deep_Learning_Introduction.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_2-Introduction-To-Machine-Learning-Fundamentals-v1.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_6-Validation-and-Regularization-v1.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_8_Data_Preparation_and_Performance_Evaluation.pdf |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/861538/files/Lecture_9_Data_Preparation_and_Performance_Evaluation.pdf |
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| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/861538/files/Lecture_11_Unsupervised_Clustering_and_Applications.pdf?subformat=pdfa |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/861538/files/Lecture_12_Unsupervised_Clustering_and_Applications.pdf?subformat=pdfa |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/861538/files/Lecture_13_Deep_Learning_Introduction.pdf?subformat=pdfa |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/861538/files/Lecture_2-Introduction-To-Machine-Learning-Fundamentals-v1.pdf?subformat=pdfa |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/861538/files/Lecture_6-Validation-and-Regularization-v1.pdf?subformat=pdfa |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/861538/files/Lecture_8_Data_Preparation_and_Performance_Evaluation.pdf?subformat=pdfa |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/861538/files/Lecture_9_Data_Preparation_and_Performance_Evaluation.pdf?subformat=pdfa |
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