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Learn PySparkbuild Python-based mach...

Singh, Pramod.

Learn PySparkbuild Python-based machine learning and deep learning models /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Learn PySparkby Pramod Singh.
Reminder of title:	build Python-based machine learning and deep learning models /
Author:	Singh, Pramod.
Published:	Berkeley, CA :Apress :2019.
Description:	xviii, 210 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	SPARK (Computer program language)
Online resource:	https://doi.org/10.1007/978-1-4842-4961-1
ISBN:	9781484249611$q(electronic bk.)

Learn PySparkbuild Python-based machine learning and deep learning models /
Singh, Pramod.

Learn PySparkbuild Python-based machine learning and deep learning models /[electronic resource] :by Pramod Singh. - Berkeley, CA :Apress :2019. - xviii, 210 p. :ill. (some col.), digital ;24 cm.

Chapter 1: Introduction to PySpark -- Chapter 2: Data Processing -- Chapter 3: Spark Structured Streaming -- Chapter 4: Airflow -- Chapter 5: Machine Learning Library (MLlib) -- Chapter 6: Supervised Machine Learning -- Chapter 7: Unsupervised Machine Learning -- Chapter 8: Deep Learning Using PySpark.

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 Spark's 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.

ISBN: 9781484249611$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-4961-1doiSubjects--Topical Terms:

803939
SPARK (Computer program language)

LC Class. No.: QA76.73.S59 / S56 2019

Dewey Class. No.: 006.31

Learn PySparkbuild Python-based machine learning and deep learning models /
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