Learn PySpark: Build Python-based Machine Learning and Deep Learning Models - Couverture souple

Singh, Pramod

Couverture souple

ISBN 10 : 1484249607 ISBN 13 : 9781484249604

Editeur : Apress, 2019

Synopsis

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

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: Apress
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 1484249607
• ISBN 13: 9781484249604
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 228
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Tiergartenstr. 17; Heidelberg; 69121; Allemagne