Data science solutions with Python fast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process. The book covers an in-memory, distribute...

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Detalles Bibliográficos
Otros Autores: Nokeri, Tshepo Chris, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress [2022]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009635713306719

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