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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| Format: | eBook |
| Language: | English |
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New York
Apress
2019
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| 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 |
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| Item Description: | Includes index |
| Physical Description: | 1 online resource illustrations (some color) |
| ISBN: | 1484249615 1484249607 9781484249628 9781484249604 9781484249611 |