Pramod Singh

Learn PySpark (eBook, PDF)

Build Python-based Machine Learning and Deep Learning Models

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Apress
• Seitenzahl: 210
• Erscheinungstermin: 6. September 2019
• Englisch
• ISBN-13: 9781484249611
• Artikelnr.: 57671308

Autorenporträt

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.

Inhaltsangabe

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.

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