Step-by-step approach to designing large-scale machine learning models for real-world data challenges
Covers essential distributed computing concepts like MapReduce and Spark for modern data processing
Includes structured code examples and executed results for hands-on learning
Clear explanations of technical concepts paired with relevant data engineering and pipeline examples
Prepares readers for future data analysis and machine learning scenarios
Summarized by Shop
El análisis de datos a gran escala es clave para construir modelos de inteligencia artificial. Aprenda, con un enfoque práctico, a diseñar modelos de machine learning a gran escala con Python y Spark. El procesamiento y análisis de datos en inteligencia artificial requiere plataformas distribuidas capaces de gestionar grandes volúmenes de