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About the Book
In this experience-based account, Jean Voigt describes cultural, organizational and critical technical aspects for consideration when building artificial intelligence and machine learning teams. Covering a broad area from, legal, technical data and model management to leadership and people management aspects the book provokes to take a step back and reflect. Each chapter includes a comprehensive reading list to further dive into specific topics in more detail. The extend of recent research material combined with Jean's leadership experience enables executives and engineers to improve their AI and ML initiatives and increase the odds of successful completion.
About the Author
Jean has been building and leading data, artificial intelligence, and machine learning teams for more than ten years. As a CFA Charterholder with a Ph.D. in Computer Science from the University of Zurich, he has built expertise in driving the organizational design and strategic product management aspect of machine intelligence. The Machine Learning Manifesto principles summarize vital aspects Jean has observed in the field and released to the community of machine learning practitioners for endorsement and adaptation.
Jean lives in Zurich, is an avid mountaineer, and regularly spends a few hours with recreational coding.
Blog: https://jeanvoigt.medium.com
Machine Learning Manifesto: https://machinelearningmanifesto.com