Katie Malone (@multiarmbandit) works in data science, has podcast about machine learning, and has a Phd in Physics. We mostly talked about machine learning, ways to kill people, mathematics, and impostor syndrome.

Katie is the host of the Linear Digressionspodcast (@LinDigressions). She recommended the Linear Digressions interview with Matt Mightas something Embedded listeners might enjoy. Katie and Ben also recently did a show about git.

Katie taught Udacity’s Intro to Machine Learningcourse (free!). She also recommends the Andrew Ng Machine Learning Coursera course.

Neural nets can be fooled in hilarious ways: Muffins vs dogs, Labradoodles vs chicken, and more. Intentional, adversarial attacks are also possible.

Impostor syndromeis totally a thing. We’ve talked about it before. You might recognize the discussion methodology from Embedded #24: I’m a Total Fraud.

Katie works at Civis Analyticsand they are hiring.

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