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Conference proceeding
Scalable Machine Learning Using PySpark
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp.454-455
Annual Computers, Software, and Applications Conference (COMPSAC), 46th (Los Alamitos, California, USA, 06/27/2022–07/01/2022)
06/2022
Web of Science ID: WOS:000855983300079
Abstract
In this paper, we present a portable labware on Google CoLab for Scalable Machine Learning (SML) with PySpark for facilitating research in Science and Engineering (SML4SE) applications. This will allow researchers to access, share, collaborate, and practice hands-on labs anywhere and anytime without time tedious installation and configuration which will help students more focus on learning concepts and getting more experience in hands-on problem-solving skills for big data analytics.
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Details
- Title
- Scalable Machine Learning Using PySpark
- Publication Details
- 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp.454-455
- Resource Type
- Conference proceeding
- Conference
- Annual Computers, Software, and Applications Conference (COMPSAC), 46th (Los Alamitos, California, USA, 06/27/2022–07/01/2022)
- Publisher
- IEEE
- Number of pages
- 2
- Copyright
- © 2022, IEEE
- Identifiers
- WOS:000855983300079; 99381803750906600
- Academic Unit
- Civil Engineering and Construction Management; Center for Cybersecurity and AI; Hal Marcus College of Science and Engineering
- Language
- English