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Real-world machine learning /

Without overdosing you on academic theory and complex mathematics, this book introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. --

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Brink, Henrik (Autor), Richards, Joseph W. (Autor), Fetherolf, Mark (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications Co., [2017]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • pt. 1. The machine-learning workflow. What is machine learning? ; Real-world data ; Modeling and prediction ; Model evaluation and optimization ; Basic feature engineering
  • pt. 2. Practical application. Example : NYC taxi data ; Advanced feature engineering ; Advanced NLP example : Movie review sentiment ; Scaling machine-learning workflows ; Example : digital display advertising.