Machine learning with PySpark Pramod Singh with natural language processing and recommender systems

By:

Singh, Pramod

Language: English Publication details: Apress, c2022. karnataka, India :Description: xviii, 219 p. ill. 25 cmISBN:

9781484284339

Subject(s):

Artificial intelligence. Robotics. Simulation; Graphics Computer architecture; Operating systems KI; Open Source Programming Python

DDC classification:

006.3 SIN

Summary: Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework.

Item type: English Books

Tags from this library: No tags from this library for this title.

Average rating: 0.0 (0 votes)

Holdings
Current library	Call number	Status	Date due	Barcode
Anna Centenary Library 3RD FLOOR, A WING	006.3 SIN; 1 (Browse shelf(Opens below))	Checked out	28.11.2024	668037
Anna Centenary Library 3RD FLOOR, A WING	006.3 SIN (Browse shelf(Opens below))	Available		668036

Browsing Anna Centenary Library shelves, Shelving location: 3RD FLOOR, A WING Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.3 SAL;1 Deep learning with azure building and deploying artificial intelligence solutions on the microsoft Ai platform	006.3 SHY Python Quick interview Guide	006.3 SHY ;1 Python Quick interview Guide	006.3 SIN Machine learning with PySpark with natural language processing and recommender systems	006.3 SIN; 1 Machine learning with PySpark with natural language processing and recommender systems	006.3 TAM Keeping Your Ai Under Control: a Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks	006.3 TAM;1 Keeping Your Ai Under Control: A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks	Next

Reprint, 2024

Includes index

Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework.

There are no comments on this title.

to post a comment.

Machine learning with PySpark Pramod Singh with natural language processing and recommender systems

Browsing Anna Centenary Library shelves, Shelving location: 3RD FLOOR, A WING Close shelf browser (Hides shelf browser)

Find us on the map