Scalable Machine Learning Using PySpark
Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Maria Valero, Kai Guo Qian, Dan Chia-Tien Lo, Fan Wu, Mohammed A. Karim, Parth Bhavsar, Jidong Yang · 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) · 2022
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.