Automated Machine Learning (AutoML) has been described as a "quiet revolution in AI" that is poised to dramatically change the data science landscape by using AI to automate many of the time-consuming aspects of applying Machine Learning to real-world problems. Academic researchers, startups, and tech giants alike have begun developing AutoML methods and tools ranging from simple open source prototypes to industry-scale software products. Yet beyond all the hype and vague tech jargon, many are left wondering: What is AutoML, really? In this talk, I will draw from my AutoML research experience to discuss the benefits of AutoML and highlight some promising future directions of the field, including Python packages and other existing tools that offer AutoML solutions.
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