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Learn PySpark : build Python-based machine learning and deep learning models /

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing PySpark fundamentals,...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Singh, Pramod (Author)
Format: Electronic eBook
Language:Inglés
Published: New York : Apress, [2019]
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary:Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to learn to use this language to perform exploratory data analysis and solve an array of business challenges. You'll start by reviewing PySpark fundamentals, such as Sparks core architecture, and see how to use PySpark for big data processing like data ingestion, cleaning, and transformations techniques. This is followed by building workflows for analyzing streaming data using PySpark and a comparison of various streaming platforms. You'll then see how to schedule different spark jobs using Airflow with PySpark and book examine tuning machine and deep learning models for real-time predictions. This book concludes with a discussion on graph frames and performing network analysis using graph algorithms in PySpark. All the code presented in the book will be available in Python scripts on Github.
Item Description:Includes index.
Physical Description:1 online resource : illustrations (some color)
ISBN:9781484249611
1484249615
1484249607
9781484249604
9781484249628
1484249623