October 2024
Intermediate to advanced
332 pages
10h
Spanish
Content preview from Análisis de Texto Aplicado con PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Índice
A
- acumuladores, De Scikit-Learn a MLLib, Ajuste local, evaluación global
- flujos de datos acíclicos, Distribuir el corpus
- Conglomeración aglomerativa, Conglomeración aglomerativa-Agglomerativeclustering, Glosario
- interfaz de programación de aplicaciones (API), definición, Glosario
B
- Retroceso, Palabras Desconocidas: Retirada y alisado -Palabras desconocidas: Retroceso y Suavizado
- retropropagación, Redes Neuronales Artificiales
- bolsa de frases clave, Prediccióndel sentimiento con una bolsa de frases clave-Predicción delsentimiento con una bolsa de frases clave
- bolsa de palabras (BOW), Características contextuales
- definido, Vectorización de texto y tuberías de transformación, Glosario
- vectorización de texto con, Palabras en el espacio
- Motor de ingestión de barbas, El motor de ingestión de barbas
- algoritmo del árbol de bolas, Ser Vecino
- Interfaz BaseEstimator(API de Scikit-Learn), La interfaz BaseEstimator
- Centralidad de la interrelación, Centralidad-Centralidad, Centralidad, Glosario
- sesgo, definido, Glosario
- compensación sesgo-varianza, validación cruzada
- Agrupación bisectriz de k-means, Agrupación de textos con MLLib
- bloqueando
C
- canonicalización, Resolución de entidades, Glosario
- centralidad, Centralidad-Centralidad, Glosario
- chatbots, Productos de Datos con Conocimiento del Lenguaje, Chatbots-Conclusión ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.