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The tutorial 'Rules of Machine Learning: Best Practices for ML Engineering' is provided by Martin Zinkevich, a renowned expert in the field of machine learning and software engineering. The source is a comprehensive PDF document available online, offering a wealth of knowledge distilled from years of practical experience in implementing machine learning systems at scale.
This tutorial focuses on Machine Learning, specifically the best practices for ML engineering. It covers a wide range of topics essential for successfully implementing machine learning projects, from initial system design to model deployment and maintenance. The course aims to provide practical guidelines and insights that can help both beginners and experienced practitioners in navigating the complexities of real-world machine learning applications.