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Christoph Molnar, Author of Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Christoph Molnar is the author of the Leanpub book Interpretable Machine Learning: A Guide for Making Black Box Models Explainable. In this interview, Leanpub co-founder Len Epp talks with Christoph about his background, what it takes to work on a Ph.D., his book and interpretability, as well as machine learning generally, some dystopian possibilities for the future, and at the end, they talk a little bit about his experience as a self-published author, including the systemic use of a free translation tool.
This interview was recorded on January 22, 2019.
The full audio for the interview is here. You can subscribe to the Frontmatter podcast in iTunes or add the podcast URL directly.
This interview has been edited for conciseness and clarity.
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By Leanpub
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Christoph Molnar is the author of the Leanpub book Interpretable Machine Learning: A Guide for Making Black Box Models Explainable. In this interview, Leanpub co-founder Len Epp talks with Christoph about his background, what it takes to work on a Ph.D., his book and interpretability, as well as machine learning generally, some dystopian possibilities for the future, and at the end, they talk a little bit about his experience as a self-published author, including the systemic use of a free translation tool.
This interview was recorded on January 22, 2019.
The full audio for the interview is here. You can subscribe to the Frontmatter podcast in iTunes or add the podcast URL directly.
This interview has been edited for conciseness and clarity.