Explainability, Machine learning: The impact the pandemic has had on models and data

  • by

Nevan McBride from Jaywing explains the need for explainability within machine learning, and the impact the COVID pandemic has had. Getting it right can enable a significant improvement in predictive power.

See the full interview and find out more about JayWing-> Here.


Send a message - get in contact

    Remember to include your email address so we can get back to you


    RO-AR updatesRO-AR.com Membership
    New content notifications
    Unsubscribe anytime
    Early content access & previews
    Access product demonstrations

    Enter business email to signup.








    See also  Data-Driven: Data and machine learning transforming Collections