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.
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Slides and Demos: https://github.com/huqy/learning-sklearn
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