The Past, Present, and Future of Automated Machine Learning
The Past, Present, and Future of Automated Machine Learning

Abstract: 

Automated Machine Learning (AutoML) has been described as a ""quiet revolution in AI"" that is poised to dramatically change the data science landscape. 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, Randy will draw from his AutoML research experience to discuss the benefits of AutoML and highlight some promising future directions of the field.

Bio: 

Dr. Randy Olson is the Lead Data Scientist at Life Epigenetics, Inc. (http://lifeegx.com), where he is merging epigenetics research with advanced machine learning methods to improve life expectancy prediction for the life insurance industry. He is a long time proponent of open and reproducible science, and leads by example by openly publishing his work on GitHub (https://github.com/rhiever/) and in open access journals. Randy writes about his latest adventures in data science at http://RandalOlson.com/blog.

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