03114nam a22005295i 4500 ssj0002239821 WaSeSS 20250110114257.0 m d cr n 190906s2019 xxu| o |||| 0|eng d 9781484249604 10.1007/978-1-4842-4961-1 doi WaSeSS AIMIT LIBRARY QA76.73.P98 UMX bicssc COM051360 bisacsh UMX thema 005.76821 1 SINP EBOOK Singh, Pramod. 32236 Learn PySpark: build python-based machine learning and deep learning models / By Pramod Singh. 1st ed. New York : Apress , 2019. xviii,210p. ; 23 cm. text file PDF rda 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. Requires an SPL library card. 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. Mode of access: World Wide Web. Python (Computer program language) 32237 Big data 32238 Machine learning 32239 Open source software 32240 Computer programming 32241 Electronic books. local 32242 SpringerLink (Online service) 32243 O'Reilly (Firm) 32244 Serials Solutions 32245 Springer eBooks Printed edition: 9781484249604 Printed edition: 9781484249628 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484249611/?ar An e-book available through full-text database. ddc BK 1st 005.76821 SINP 222660 222660 03654381 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 699.00 Bill no:6623; Bill dt:2022-03-23 4 005.76821 SINP MCA17056 2025-07-21 00:00:00 2025-01-03 559.20 2022-04-27 BK 0 0 ddc 0 0 MCA AIMIT AIMIT 2025-01-06 Biblios Book Point 699.00 Bill no: 5885;Bill dt: 2025/01/1 0 005.76821 SINP MCA17276 2025-07-21 00:00:00 559.00 2025-01-10 BK