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Author Nokeri, Tshepo Chris, author.

Title Data science solutions with Python : fast and scalable models using Keras, PySpark MLlib, H2o, XGBoost, and Scikit-Learn / Tshepo Chris Nokeri.

Publication Info. [Berkeley, California] : Apress, [2022]
Bookmark link: https://library.naperville-lib.org:444/record=b2166163~S1
Location Call No. Status
 95th Street Adult Nonfiction  005.133 PYT 2022    AVAILABLE
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Description xvi, 119 pages : illustrations ; 26 cm
Summary "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, distributed cluster computing framework known as PySpark, machine learning framework platforms known as scikit-learn, PySpark MLlib, H2O, and XGBoost, and a deep learning (DL) framework known as Keras. The book starts off presenting supervised and unsupervised ML and DL models, and then it examines big data frameworks along with ML and DL frameworks-- Provided by publisher.
Note Includes index.
Subject Machine learning.
Python (Computer program language)
ISBN 9781484277614 (pbk.)
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