Singh, Pramod
Learn Pyspark: Build Python-Based Machine Learning and Deep Learning Models
- ISBN 13:
- 9781484249604
- author:
- Singh, Pramod
- format:
- Paperback
- publisher:
- Apress
- language:
- English
- Publication Year:
- 2019
- Pages:
- 210
- Dimensions:
- 23.4 x 15.6 x 1.2 centimetres (0
- Genre:
- Professional & Vocational, Computers, Programming,
- Condition:
- New
- Availability:
- Item usually sent within 20 working days
Description
Build Real-Time Machine Learning and Deep Learning Models with PySpark Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is ideal for those who want to learn to use this language to perform exploratory data analysis and solve 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. The book then guides you through building workflows for analyzing streaming data using PySpark, comparing various streaming platforms, and scheduling different spark jobs using Airflow with PySpark. The final chapters cover advanced topics such as graph frames and performing network analysis using graph algorithms in PySpark. All the code presented in the book is available on Github, allowing you to work on real-world projects and apply your new skills.
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