Information science Machine learning design pattern / Valliappa Lakshmanan

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Information Science
Collection of design patterns for learning best practices in machine learning! As the title reads "Design Patterns," we classify recurring machine learning problems into 30 patterns (related to data representation, problem representation, model training, reproducibility, flexibility, connectivity, accountability, fairness, etc.) and present and explain best practices for each of them. This book can be read as a practical primer for beginners who want to experiment with machine learning while moving their hands, and as a reference for data scientists in the field. This practical book is based on the extensive experience as a researcher at the National Oceanic and Atmospheric Administration Agency and as the head of the data analysis & AI department at Google Cloud.