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Data Science para Todos

Jorge Leonardo Loreto

Data Science para Todos es un podcast donde la Ciencia de Datos se explica de manera simple, cercana y práctica. Con el apoyo de la inteligencia artificial, desglosamos conceptos complejos en un lenguaje claro y útil, mostrando cómo los datos pueden transformar negocios, salud, deporte y la vida cotidiana. Un espacio pensado para principiantes, profesionales y curiosos que quieren entender y aplic... more

PublishesWeeklyEpisodes23Founded3 months ago
Language
Spanish
Categories
ScienceMathematics

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Artwork for Data Science para Todos

Latest Episodes

Cuando tienes demasiadas variables, los patrones se esconden. El Análisis de Componentes Principales (PCA) te ayuda a reducir la complejidad de los datos sin perder lo importante.

En este episodio te explicamos cómo funciona, por qué es tan usado en... more

Los modelos, dashboards y análisis solo son tan buenos como los datos que los alimentan. En este episodio te contamos qué es DataOps, la metodología que garantiza que los datos fluyan limpios, confiables y actualizados desde el origen hasta tus model... more

Entrenar un modelo es solo el comienzo. En este episodio te contamos cómo construir pipelines de Machine Learning y llevarlos al siguiente nivel con MLOps, la práctica que conecta la ciencia de datos con la ingeniería para automatizar, desplegar y mo... more

Un modelo que predice bien no siempre es suficiente. Si no podemos explicar sus resultados, nadie lo va a usar con confianza.

En este episodio hablamos de explicabilidad en machine learning: qué es, por qué es tan importante y cómo herramientas como... more

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Apple Podcasts
#108
United States/Science/Mathematics
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#3
Argentina/Science/Mathematics
Apple Podcasts
#3
Spain/Science/Mathematics
Apple Podcasts
#19
Mexico/Science/Mathematics
Apple Podcasts
#226
Spain/Science
Apple Podcasts
#240
Argentina/Science

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1. Kapital

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Data Science para Todos launched 3 months ago and published 23 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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