Accredited: Prof. Dr. Martin Huber
The AI Guild accredits Prof. Dr. Martin Huber (University of Fribourg) as qualified to the highest standard for technical competence, ethical behavior, business impact, and benefits to society.
Read the competency standard here.
Accreditation is a rigorous assessment and interview process to a competency standard. Prof. Dr. Martin Huber is recognized by his peers as a leading practitioner with 15+ years of experience and validated expertise in machine learning and as Chair of Applied Econometrics.
We admire Prof. Dr. Martin Huber’s outstanding achievements in driving forward the theory and application of data-driven causal analysis. We are particularly impressed by his engagement in the applied econometrics community by writing widely used open-source libraries and publishing in top-ranked peer-reviewed journals.
Dr. Irena Bojarovska
Dr. Tereza Iofciu
The highest standard in AI
Accreditation is the AI Guild action and process of recognizing a data professional as qualified to perform her or his profession to the highest quality standard.
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90 days from submission to accreditation. Get recognized as a practitioner qualified to perform at the highest standards for technical competence, ethical behavior, business impact, and benefits to society. Submit anytime for accreditation by using this form.