- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 34 for Machine (0.08 sec)
-
docs/en/docs/advanced/events.md
## Use Case { #use-case } Let's start with an example **use case** and then see how to solve it with this. Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 7.9K bytes - Viewed (0) -
docs/pt/docs/advanced/events.md
## Caso de uso { #use-case } Vamos começar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso. Vamos imaginar que você tem alguns **modelos de machine learning** que deseja usar para lidar com as requisições. 🤖Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 8.8K bytes - Viewed (0) -
docs/es/docs/advanced/events.md
## Caso de Uso { #use-case } Empecemos con un ejemplo de **caso de uso** y luego veamos cómo resolverlo con esto. Imaginemos que tienes algunos **modelos de machine learning** que quieres usar para manejar requests. 🤖Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 8.5K bytes - Viewed (0) -
docs/es/docs/async.md
Eso, más el simple hecho de que Python es el lenguaje principal para **Data Science**, Machine Learning y especialmente Deep Learning, hacen de FastAPI una muy buena opción para APIs web de Data Science / Machine Learning y aplicaciones (entre muchas otras).
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 10:15:01 UTC 2025 - 25.4K bytes - Viewed (0) -
docs/pt/llm-prompt.md
* I/O (as in "input and output"): I/O (do not translate to "E/S") * JSON Schema: JSON Schema * library: biblioteca * lifespan: lifespan (do not translate to "vida útil") * list (as in Python list): list * Machine Learning: Aprendizado de Máquina * media type: media type (do not translate to "tipo de mídia") * non-Annotated: non-Annotated (do not translate non-Annotated when it comes after a Python version.e.g., “Python 3.10+ non-Annotated”)
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 3.1K bytes - Viewed (0) -
docs/es/llm-prompt.md
* API key: API key (do not translate to "clave API") * 100% test coverage: cobertura de tests del 100% * back and forth: de un lado a otro * I/O (as in "input and output"): I/O (do not translate to "E/S") * Machine Learning: Machine Learning (do not translate to "Aprendizaje Automático") * Deep Learning: Deep Learning (do not translate to "Aprendizaje Profundo") * callback hell: callback hell (do not translate to "infierno de callbacks")
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:33:45 UTC 2025 - 5.4K bytes - Viewed (0) -
docs/de/docs/_llm-test.md
* <abbr title="Eine Gruppe von Maschinen, die so konfiguriert sind, dass sie verbunden sind und in irgendeiner Weise zusammenarbeiten.">Cluster</abbr> * <abbr title="Eine Methode des Machine Learning, die künstliche neuronale Netze mit zahlreichen versteckten Schichten zwischen Eingabe- und Ausgabeschicht verwendet und so eine umfassende interne Struktur entwickelt">Deep Learning</abbr>
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 07:17:04 UTC 2025 - 12.6K bytes - Viewed (0) -
docs/en/docs/_llm-test.md
* <abbr title="Parallel Server Gateway Interface">PSGI</abbr> ### The abbr gives an explanation { #the-abbr-gives-an-explanation } * <abbr title="A group of machines that are configured to be connected and work together in some way.">cluster</abbr> * <abbr title="A method of machine learning that uses artificial neural networks with numerous hidden layers between input and output layers, thereby developing a comprehensive internal structure">Deep Learning</abbr>
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Thu Dec 11 14:48:47 UTC 2025 - 11.4K bytes - Viewed (0) -
docs/es/docs/_llm-test.md
### El abbr da una explicación { #the-abbr-gives-an-explanation } * <abbr title="Un grupo de máquinas configuradas para estar conectadas y trabajar juntas de alguna manera.">clúster</abbr> * <abbr title="Un método de machine learning que usa redes neuronales artificiales con numerosas capas ocultas entre las capas de entrada y salida, desarrollando así una estructura interna completa">Deep Learning</abbr>Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:16:35 UTC 2025 - 12.6K bytes - Viewed (0) -
docs/en/data/topic_repos.yml
html_url: https://github.com/zhanymkanov/fastapi-best-practices stars: 14644 owner_login: zhanymkanov owner_html_url: https://github.com/zhanymkanov - name: machine-learning-zoomcamp html_url: https://github.com/DataTalksClub/machine-learning-zoomcamp stars: 12320 owner_login: DataTalksClub owner_html_url: https://github.com/DataTalksClub - name: fastapi_mcp html_url: https://github.com/tadata-org/fastapi_mcp
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Mon Dec 01 13:17:29 UTC 2025 - 16K bytes - Viewed (0)