Treffer 41 - 60 von 161

Python Parallel Programming Cookbook
Giancarlo Zaccone ; Giancarlo Zaccone ; Giancarlo Zaccone ; et al.
2019

Python Parallel Programming Cookbook
Giancarlo Zaccone ; Giancarlo Zaccone ; Giancarlo Zaccone ; et al.
2019

Python Parallel Programming Cookbook
Giancarlo Zaccone ; Giancarlo Zaccone ; Giancarlo Zaccone ; et al.
2019

scikit-learn Cookbook Ed. 2
Avila, Julian ; Hauck, Trent ; Avila, Julian ; et al.

Machine learning for OpenCV 4: intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn
Sharma, Aditya ; Shrimali, Vishwesh Ravi ; Beyeler, Michael

Streamlit for Data Science
Tyler Richards ; Adrien Treuille ; Tyler Richards ; et al.
2023

Fault Diagnosis Method for Transformer Winding Based on the Load Normalized Lissajous Graphical Analysis of Leakage Magnetic Field
Bowen ZHANG ; Jian FENG ; Bowen WANG ; et al.
工程科学与技术, Vol 56, Pp 25-33 (2024)

Computación Evolutiva Descentralizada de Modelo Híbrido usando Blockchain y Prueba de Trabajo de Optimización
Consultor de tesis ; Pabón Burbano, María Constanza ; Bastidas Caicedo, Harvey Demian ; et al.
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Presentación, Editorial, Índice Vol. 2 Nº. 2
Investigación, Esprint ; Investigación, Esprint
Esprint Investigación, ISSN 2960-8317, Vol. 2, Nº. 2, 2023 (Ejemplar dedicado a: Data and Artificial Intelligence.), pags. 1-4

Mastering TensorFlow 1.x
Armando Fandango ; Armando Fandango ; Armando Fandango ; et al.
2018

Mastering TensorFlow 1.x
Armando Fandango ; Armando Fandango ; Armando Fandango ; et al.
2018

Mastering TensorFlow 1.x
Armando Fandango ; Armando Fandango ; Armando Fandango ; et al.
2018

Mastering TensorFlow 1.x
Armando Fandango ; Armando Fandango ; Armando Fandango ; et al.
2018

[Proceedings of the] International Conference on Educational Data Mining (EDM) (3rd, Pittsburgh, PA, July 11-13, 2010)
International Working Group on Educational Data Mining ; Baker, Ryan S. J. d. ; Merceron, Agathe ; et al.
354

Linear Algebra and Learning From Data [Bookshelf]
George Cybenko
IEEE Control Systems. 40:71-72

A roadmap to scientific software deployment: bio2Byte Tools as a use case
Gavalda-Garcia, Jose ; Diaz, Adrian G. ; Vranken, Wim ; et al.

[Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System]
Linling, Ye ; Fan, Yu ; Zhengqiang, Hu ; et al.
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition. 55(2)

Herramienta de visualización y análisis para la cuenta de Twitter @URosario ; Visualization and analysis tool for the Twitter account @URosario.
Gonzalez Sañudo, Laura Liliana ; Rodríguez Macías, Andrea
Alfarizi, M. I., Syafaah, L., & Lestandy, M. (2022). Emotional Text Classification Using TF-IDF (Term Frequency-Inverse Document Frequency) And LSTM (Long Short-Term Memory). JUITA : Jurnal Informatika, 10(2), 225. ; Bird, S., Klein, E., & Loper, E. (2009). Natural Language Processing with Python. O’Reilly Media. ; Eriksson, M., & Olsson, E.-K. (2016). Facebook and Twitter in Crisis Communication: A Comparative Study of Crisis Communication Professionals and Citizens. Journal of Contingencies and Crisis Management, 24(4), 198-208. https://doi.org/10.1111/1468-5973.12116 ; Kinsta. (2022, diciembre 19). Definición de Web scraping. https://kinsta.com/es/base-deconocimiento/que-es-web-scraping/ ; Murphy, K. P. (2020). Machine learning, second edition a probabilistic perspective. The ....

Machine Learning Engineering with Python, 2nd Edition
McMahon, Andrew P.

Observing scenarios simulations for HLVK-Configuration for O4 Runs, using 20 million injections. This simulation led to 17,009 BNS useful for training Parameter Estimations of EM counterparts of GW. (July 2024 edition).
R. Weizmann,, Kiendrebeogo ; orcid:0000-0002-9108- ; Michael W., Coughlin ; et al.