Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently, mastering libraries like scikit-learn, pivotal in the arsenal of machine learning tools, is of paramount importance.In this session, we delve into advanced aspects of leveraging the scikit-learn Python library for high-performance machine learning. We will focus on enhancing modeling speed with multicore processors and accelerators, as well as implementing out-of-core learning. This lecture builds upon the foundational concepts covered in the first session. For optimal benefit, attendees should possess practical experience in Python programming and a solid understanding of fundamental machine learning concepts.

Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu.

Presented by the Office of Advanced Research Computing.

Register here: https://ucla.zoom.us/meeting/register/tJcrdOupqTsrHdfGk-BQHD6foJjndq7s1T4T