Rachel Silver
  • Blog
  • About
  • Contact

Speaking at O'REilly AI Conference

1/23/2018

0 Comments

 
​Executive Briefing: A new taxonomy of machine learning
Session details 

Rachel Silver shares a new taxonomy of machine learning approaches that distinguishes between those that are providing enormous competitive advantage and those that represent merely small, incremental improvements on existing analytical tools and details a framework for evaluating ML approaches on several dimensions of complexity, including:

The amount of data required (such as for training)
The computational complexity of the training algorithm
Real-time streaming requirements (versus just batch computing)
Data throughput for the deployed model to process
Rachel explores examples of how to apply this framework to real-world machine learning approaches and highlights the technical requirements of supporting the most disruptive examples of ML solutions.
0 Comments



Leave a Reply.

    Author

    Rachel Silver is the Product Management Lead for Machine Learning & AI @ MapR Data Technologies. 
    This blog is unaffiliated with her employer and does not represent their views.

    Archives

    February 2019
    January 2019
    August 2018
    July 2018
    June 2018
    May 2018
    March 2018
    February 2018
    January 2018
    November 2017
    October 2017
    June 2017
    September 2016

    RSS Feed


    Tweets by @RachelSilverPgh
  • Blog
  • About
  • Contact