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...
Call Number: | Libro Electrónico |
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Main Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
[United States] :
Apress,
2022.
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Subjects: | |
Online Access: | Texto completo |