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Ficheros en clase:iabd:pia

a_gentle_introduction_to_bayesian_analysis.applications_to_development_research.pdf

2022/01/09 19:21

1 MB
bayesian_estimation_supersedes_the_t_test.pdf

2023/01/03 12:55

1.6 MB
dive_into_deep_learning.2021.pdf

2021/04/26 12:42

27.6 MB
doing_bayesian_data_analysis.pdf

2023/01/02 12:22

22.6 MB
guide-become-data-scientist.jpeg

495×700

2021/06/03 19:39

91.2 KB
mathematics_for_machine_learning.pdf

2021/04/26 12:37

16.6 MB
nvidia-dgx-station-a100-datasheet.pdf

2021/10/28 21:56

188.7 KB
paradoja_simpson.jpeg

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2021/07/29 11:05

368 KB
pattern-recognition-and-machine-learning-2006.pdf

2021/04/26 12:39

17.3 MB
regulation_techniques_for_multicollinearity-lasso_ridge_and_elastic_nets.pdf

2021/04/25 18:16

1.1 MB
scipy_stats.png

8026×6939

2021/04/25 18:32

5.3 MB
the_elements_of_statistical_learning.data_mining_inference_and_prediction.2017.pdf

2021/04/26 12:49

12.8 MB
tipos_de_errores.png

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2021/07/24 10:19

213.4 KB

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clase:iabd:pia:mathematics_for_machine_learning.pdf

Fecha:: 2021/04/26 12:37
Nombre del archivo:: mathematics_for_machine_learning.pdf
Tamaño:: 17MB

Referencias para:: Documentación