627: AutoML: Automated Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
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Exploring the AutoML Universe
This chapter delves into various products in the AutoML space, such as the H2O open-source library and driverless commercial package designed for feature engineering on GPUs. The conversation emphasizes the significance of feature engineering, genetic algorithms, and the advantages of leveraging GPUs for algorithm efficiency. It also discusses the role of AutoML in automating tasks, providing model performance insights, and serving as a learning tool for individuals at different stages of their data science careers.
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Transcript
