BootstrapLabs AAI18 Keynote – AutoML: The Future of Machine Learning

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Over the next several weeks we’ll be releasing the videos from the sessions from the BootstrapLabs Applied AI Conference 2018. The yearly conference organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Speaker: Alex Holub, Founder, Vidora

If you want to check out the slides used by the speaker follow this link.

During this session, Alex Holub discussed the future of Machine Learning, Automated Machine Learning and the notion of Master Algorithms.

Some of the key takeaways from the session are:

  • All machine learning implementations within an organization have to go through 4 fundamental steps: pre-processing, feature cleaning, feature engineering, and modeling.
  • Metalearning, having the machine learning system learn from the raw data as it goes through the different possibilities of pre-processing, feature cleaning, feature engineering and modeling techniques.
  • Leveraging Master Algorithms that can deal with raw data and figure out the best path will give everyone access to building these complex machine learning models without having written a single line of code.

About Alex Holub:
Alex is the Co-Founder and CEO of Vidora, a leading ML company working with companies like News Corp, Walmart, and Yahoo! Japan. Prior to co-founding Vidora, Alex was a technical and product management lead at Ooyala. He has published over 15 academic papers and holds numerous patents in the areas of ML, computer vision, and AI. Alex studied artificial intelligence throughout his academic career at Cornell University and during his Ph.D at Caltech.

About Vidora:
Vidora provides a self-service, point and click machine learning platform to some of the largest global companies including News Corp, Walmart, and Yahoo! Japan. Vidora’s technology leverages automated techniques for feature cleaning, feature engineering, and model selection to enable non-technical users to use Machine Learning. Vidora’s founders include graduates and PhDs from Stanford, Berkeley, and Caltech. Learn more about Vidora at https://www.vidora.com/