Learn Pyspark: Build Python-Based Machine Learning and Deep Learning Models
Learn PySpark
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
Author: Pramod Singh
Publisher: Apress
Published: 09/07/2019
Pages: 210
Binding Type: Paperback
Weight: 0.72lbs
Size: 9.21h x 6.14w x 0.48d
ISBN: 9781484249604
About the Author
Pramod Singh is currently a Manager (Data Science) at Publicis Sapient and working as data science lead for a project with Mercedes Benz. He has spent the last nine years working on multiple Data projects at SapientRazorfish, Infosys & Tally and has used traditional to advanced machine learning and deep learning techniques in multiple projects using R, Python, Spark and Tensorflow. Pramod has also been a regular speaker at major conferences in India and abroad and is currently authoring a couple of books on Deep Learning and AI techniques. He regularly conducts Data Science meetups at SapientRazorfish and presents webinars on Machine Learning and Artificial Intelligence. He lives in Bangalore with his wife and 2-year-old son. In his spare time, he enjoys coding, reading and watching football.
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