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OverviewFull Product DetailsAuthor: Pramod SinghPublisher: APress Imprint: APress Edition: 1st ed. Weight: 0.454kg ISBN: 9781484249604ISBN 10: 1484249607 Pages: 210 Publication Date: 07 September 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsLearn 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 PySparkReviewsAuthor InformationPramod 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. Tab Content 6Author Website:Countries AvailableAll regions |