the-past-present-and-future-of-automated-machine-learning-scipy-2018-randal-olson.json

{
  "copyright_text": null,
  "description": "Automated Machine Learning (AutoML) has been described as a \"quiet\nrevolution in AI\" that is poised to dramatically change the data science\nlandscape by using AI to automate many of the time-consuming aspects of\napplying Machine Learning to real-world problems. Academic researchers,\nstartups, and tech giants alike have begun developing AutoML methods and\ntools ranging from simple open source prototypes to industry-scale\nsoftware products. Yet beyond all the hype and vague tech jargon, many\nare left wondering: What is AutoML, really? In this talk, I will draw\nfrom my AutoML research experience to discuss the benefits of AutoML and\nhighlight some promising future directions of the field, including\nPython packages and other existing tools that offer AutoML\nsolutions.Presenter(s): Speaker: Randal Olson, Lead Data Scientist, Life\nEpigenetics, Inc.\n",
  "duration": 1664,
  "language": "eng",
  "recorded": "2018-07-11",
  "related_urls": [
    {
      "label": "Conference schedule",
      "url": "https://scipy2018.scipy.org/ehome/299527/721463/"
    },
    {
      "label": "Conference slides",
      "url": "https://github.com/deniederhut/Slides-SciPyConf-2018"
    }
  ],
  "speakers": [
    "Randal Olson"
  ],
  "tags": [],
  "thumbnail_url": "https://i.ytimg.com/vi/QrJlj0VCHys/maxresdefault.jpg",
  "title": "The Past, Present, and Future of Automated Machine Learning",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=QrJlj0VCHys"
    }
  ]
}