Learn PySpark: Build Python-based Machine Learning and Deep Learning Models
Authors: Pramod Singh
ISBN-10: 1484249607
ISBN-13: 9781484249604
Edition 版次: 1st ed.
Publication Date 出版日期: 2019-09-07
Print Length 页数: 210 pages
Book Description
By finelybook
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.
What You’ll Learn
Develop pipelines for streaming data processing using PySpark
Build Machine Learning & Deep Learning models using PySpark latest offerings
Use graph analytics using PySpark
Create Sequence Embeddings from Text data
1.Introduction to Spark
2.Data Processing
3.Spark Structured Streaming
4.Airflow
5.MLlib: Machine Learning Library
6.Supervised Machine Learning
7.Unsupervised Machine Learning
8.Deep Learning Using PySpark
