Garbage In, Garbage Out is NOT Why Machine Learning Fails

At the RSA 2019 Conference I spoke with Davi Ottenheimer (@daviottenheimer), product security at MongoDB, about where and why machine learning falls short. One might assume garbage in, garbage out, but who determines what’s garbage and what’s not can greatly change the accuracy and prejudice of a machine learning system.

Listen to the podcast episode of Defense in Depth where we talk with Davi about machine learning failures.

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David Spark
David Spark is the founder of CISO Series where he produces and co-hosts many of the shows. Spark is a veteran tech journalist having appeared in dozens of media outlets for almost three decades.